from sklearn import datasets                         # For using existing sklearn datasets 
from sklearn import tree                             # desired model
from sklearn.model_selection import train_test_split # split data to training ones and test ones 
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn import preprocessing
from sklearn.pipeline import make_pipeline
import numpy as np
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error, r2_score # model evaluation
from sklearn.metrics import accuracy_score               # model evaluation
from sklearn.model_selection import learning_curve
from sklearn.datasets import load_digits
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import ShuffleSplit
from sklearn.model_selection import RandomizedSearchCV
from sklearn.model_selection import GridSearchCV
from matplotlib.pyplot import figure
from sklearn.tree import export_graphviz
from subprocess import call
from IPython.display import Image
import seaborn as sns
import time
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm

#Data Preview

data = pd.read_excel('onemore_merged.xlsx')

data

	Unnamed: 0	STATE_CODE	SHRP_ID	YEAR	CONSTRUCTION_NO	MAX_MEAN_DEPTH_1_8	ANL_KESAL_LTPP_LN_YR	TOTAL_ANN_PRECIP	FREEZE_INDEX_YR	MAX_ANN_TEMP_AVG	MAX_ANN_TEMP_DAYS	DAYS_ABOVE_32_C_YR	MR_MATL_TYPE	RES_MOD_AVG	REPR_THICKNESS
0	0	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	21	NaN
1	1	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	19	NaN
2	2	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	77	NaN
3	3	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	79	NaN
4	4	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	95	NaN
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
21751	21751	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	115	NaN
21752	21752	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	89	NaN
21753	21753	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	134	NaN
21754	21754	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	117	NaN
21755	21755	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	71	NaN

21756 rows × 15 columns

data.drop(['Unnamed: 0'], inplace=True, axis=1)
data.drop_duplicates(inplace=True)
data.isnull().sum()

STATE_CODE                 0
SHRP_ID                    0
YEAR                       0
CONSTRUCTION_NO            0
MAX_MEAN_DEPTH_1_8         0
ANL_KESAL_LTPP_LN_YR       0
TOTAL_ANN_PRECIP           0
FREEZE_INDEX_YR            0
MAX_ANN_TEMP_AVG           0
MAX_ANN_TEMP_DAYS          0
DAYS_ABOVE_32_C_YR         0
MR_MATL_TYPE               0
RES_MOD_AVG                0
REPR_THICKNESS          5362
dtype: int64

#data['REPR_THICKNESS'].mean()
data.fillna(data['REPR_THICKNESS'].mean(), inplace=True)

data

	STATE_CODE	SHRP_ID	YEAR	CONSTRUCTION_NO	MAX_MEAN_DEPTH_1_8	ANL_KESAL_LTPP_LN_YR	TOTAL_ANN_PRECIP	FREEZE_INDEX_YR	MAX_ANN_TEMP_AVG	MAX_ANN_TEMP_DAYS	DAYS_ABOVE_32_C_YR	MR_MATL_TYPE	RES_MOD_AVG	REPR_THICKNESS
0	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	21	97.883721
1	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	19	97.883721
2	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	77	97.883721
3	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	79	97.883721
4	37	1024	1992	1	9	80	1471.300049	11	19.799999	366	2	2	95	97.883721
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
21750	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	105	97.883721
21751	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	115	97.883721
21752	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	89	97.883721
21753	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	134	97.883721
21755	28	3082	1992	1	5	107	1240.800049	12	22.100000	366	17	2	71	97.883721

5534 rows × 14 columns

# Data Processing 
# X:input variables
X = data.loc[:,[
#    'STATE_CODE',
#    'SHRP_ID',
#    'YEAR',
    'CONSTRUCTION_NO',
    'ANL_KESAL_LTPP_LN_YR',
    'TOTAL_ANN_PRECIP',
    'FREEZE_INDEX_YR',
    'MAX_ANN_TEMP_AVG',
    'MAX_ANN_TEMP_DAYS',
    'DAYS_ABOVE_32_C_YR',
    'MR_MATL_TYPE',
    'RES_MOD_AVG',
    'REPR_THICKNESS'
]]

#y:output predictor

y=data.loc[:,['MAX_MEAN_DEPTH_1_8']]



#y:output predictor

#y2=data.loc[:,['MRI']]

# create object of our model
# RF_model = RandomForestRegressor(n_estimators= 15,
#  min_samples_split=2,
#  min_samples_leaf=1,
# #  max_features=auto,
#  max_depth=15,
#  bootstrap= True)
RF_model = RandomForestRegressor()

# Prediction
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state = 42)
#X_train2, X_test2, y_train2, y_test2 = train_test_split(X2, y2, test_size=0.2, random_state = 42)

# Training model
RF_model = RF_model.fit(X_train,y_train.values.ravel())
y_pred_train = RF_model.predict(X_train)
y_pred_test = RF_model.predict(X_test)



# Model evaluation
train=RF_model.score(X_train,y_train)
test=RF_model.score(X_test,y_test)

train_mse = mean_squared_error(y_train, y_pred_train)
test_mse = mean_squared_error(y_test, y_pred_test)

train_r2 = r2_score(y_train, y_pred_train)
test_r2 = r2_score(y_test, y_pred_test)

RF_model.score(X_test, y_test)

0.9584569590548632

# Data Processing # X:input variables X = data.loc[:,[ # 'STATE_CODE', # 'SHRP_ID', # 'YEAR', 'CONSTRUCTION_NO', # 'MAX_MEAN_DEPTH_1_8', 'ANL_KESAL_LTPP_LN_YR', 'TOTAL_ANN_PRECIP', 'FREEZE_INDEX_YR', 'MAX_ANN_TEMP_AVG', 'MAX_ANN_TEMP_DAYS', 'DAYS_ABOVE_32_C_YR', 'MR_MATL_TYPE', 'RES_MOD_AVG', 'REPR_THICKNESS' ]] #y:output predictor y=data.loc[:,['MAX_MEAN_DEPTH_1_8']] #y:output predictor #y2=data.loc[:,['MRI']] # create object of our model # RF_model = RandomForestRegressor(n_estimators= 15, # min_samples_split=2, # min_samples_leaf=1, # # max_features=auto, # max_depth=15, # bootstrap= True) RF_model = RandomForestRegressor() # Prediction X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state = 42) #X_train2, X_test2, y_train2, y_test2 = train_test_split(X2, y2, test_size=0.2, random_state = 42)

print(X_train.shape)
print(X_test.shape)
print(y_train.shape)
print(y_test.shape)

(4427, 10)
(1107, 10)
(4427, 1)
(1107, 1)

X_train_grp = X_train.groupby('item_id').mean().reset_index()
X_train_grp

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
/var/folders/mf/gtpff7fn1t36x4pfcr9qrj_c0000gn/T/ipykernel_1672/3133085176.py in <module>
----> 1 X_train_grp = X_train.groupby('item_id').mean().reset_index()
      2 X_train_grp

/opt/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
   7639             squeeze=squeeze,  # type: ignore[arg-type]
   7640             observed=observed,
-> 7641             dropna=dropna,
   7642         )
   7643 

/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/groupby.py in __init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
    895                 observed=observed,
    896                 mutated=self.mutated,
--> 897                 dropna=self.dropna,
    898             )
    899 

/opt/anaconda3/lib/python3.7/site-packages/pandas/core/groupby/grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
    860                 in_axis, level, gpr = False, gpr, None
    861             else:
--> 862                 raise KeyError(gpr)
    863         elif isinstance(gpr, Grouper) and gpr.key is not None:
    864             # Add key to exclusions

KeyError: 'item_id'

test_merged = test.merge(train_grp, on='item_id', suffixes=['_test', '_train'])
test_merged

test_cols = [col for col in test_merged.columns if 'test' in col]
train_cols = [col for col in test_merged.columns if 'train' in col]
dict_cols =dict(zip(test_cols, train_cols))
dict_cols

for test, train in dict_cols.items():
    test_merged[test] = np.where(test_merged[test].isnull(), 
                                 test_merged[train], 
                                 test_merged[test])

# Clean up dataframe
test_merged.drop(train_cols, axis=1, inplace=True)
test_merged.columns = test_merged.columns.str.replace('_test', '')
test_merged

X_train

	CONSTRUCTION_NO	ANL_KESAL_LTPP_LN_YR	TOTAL_ANN_PRECIP	FREEZE_INDEX_YR	MAX_ANN_TEMP_AVG	MAX_ANN_TEMP_DAYS	DAYS_ABOVE_32_C_YR	MR_MATL_TYPE	RES_MOD_AVG	REPR_THICKNESS
6356	1	54	1329.800049	0	24.799999	366	74	2	36	97.883721
13797	1	60	1363.900024	0	26.400000	366	49	2	88	97.883721
2024	1	410	1473.400024	143	18.000000	366	4	2	68	97.883721
5426	1	38	1155.000000	2	23.799999	366	57	2	51	97.883721
12125	1	60	1437.599976	16	21.000000	366	11	2	86	97.883721
...	...	...	...	...	...	...	...	...	...	...
11875	1	293	1164.599976	0	22.900000	366	42	2	87	97.883721
19783	1	64	1392.199951	0	27.100000	366	61	2	85	97.883721
19849	1	415	678.000000	1	28.799999	365	143	2	44	97.883721
21476	1	40	1948.000000	0	25.500000	366	61	2	59	97.883721
2448	1	410	1473.400024	143	18.000000	366	4	2	49	97.883721

4427 rows × 10 columns

# Training model
RF_model = RF_model.fit(X_train,y_train.values.ravel())
y_pred_train = RF_model.predict(X_train)
y_pred_test = RF_model.predict(X_test)



# Model evaluation
train=RF_model.score(X_train,y_train)
test=RF_model.score(X_test,y_test)

train_mse = mean_squared_error(y_train, y_pred_train)
test_mse = mean_squared_error(y_test, y_pred_test)

train_r2 = r2_score(y_train, y_pred_train)
test_r2 = r2_score(y_test, y_pred_test)

RF_model.score(X_test, y_test)

0.9582110804682499

RF_model.get_params()

{'bootstrap': True,
 'ccp_alpha': 0.0,
 'criterion': 'squared_error',
 'max_depth': None,
 'max_features': 'auto',
 'max_leaf_nodes': None,
 'max_samples': None,
 'min_impurity_decrease': 0.0,
 'min_samples_leaf': 1,
 'min_samples_split': 2,
 'min_weight_fraction_leaf': 0.0,
 'n_estimators': 100,
 'n_jobs': None,
 'oob_score': False,
 'random_state': None,
 'verbose': 0,
 'warm_start': False}

len(RF_model.estimators_)

100

# Hyperparameter Check
print('Tree 1 max depth:',RF_model.estimators_[0].get_depth())
print('Tree 2 max depth:',RF_model.estimators_[1].get_depth())
print('Tree 3 max depth:',RF_model.estimators_[2].get_depth())
print('Tree 4 max depth:',RF_model.estimators_[3].get_depth())
# print('Tree 5 max depth:',RF_model.estimators_[4].get_depth())
print("")
print('Tree 1 min_samples_split:',RF_model.estimators_[0].min_samples_split)
print('Tree 2 min_samples_split:',RF_model.estimators_[1].min_samples_split)
print('Tree 3 min_samples_split:',RF_model.estimators_[2].min_samples_split)
print('Tree 4 min_samples_split:',RF_model.estimators_[3].min_samples_split)
# print('Tree 5 min_samples_split:',RF_model.estimators_[4].min_samples_split)
print("")
print('Tree 1 min_samples_leaf:',RF_model.estimators_[0].min_samples_leaf)
print('Tree 2 min_samples_leaf:',RF_model.estimators_[1].min_samples_leaf)
print('Tree 3 min_samples_leaf:',RF_model.estimators_[2].min_samples_leaf)
print('Tree 4 min_samples_leaf:',RF_model.estimators_[3].min_samples_leaf)
# print('Tree 5 min_samples_leaf:',RF_model.estimators_[4].min_samples_leaf)
# print("")
print('Tree 1 max_features:',RF_model.estimators_[0].n_features_)
print('Tree 2 max_features:',RF_model.estimators_[1].n_features_)
print('Tree 3 max_features:',RF_model.estimators_[2].n_features_)
print('Tree 4 max_features:',RF_model.estimators_[3].n_features_)
# print('Tree 5 max_features:',RF_model.estimators_[4].n_features_)

Tree 1 max depth: 29
Tree 2 max depth: 22
Tree 3 max depth: 22
Tree 4 max depth: 26

Tree 1 min_samples_split: 2
Tree 2 min_samples_split: 2
Tree 3 min_samples_split: 2
Tree 4 min_samples_split: 2

Tree 1 min_samples_leaf: 1
Tree 2 min_samples_leaf: 1
Tree 3 min_samples_leaf: 1
Tree 4 min_samples_leaf: 1
Tree 1 max_features: 10
Tree 2 max_features: 10
Tree 3 max_features: 10
Tree 4 max_features: 10

/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/deprecation.py:103: FutureWarning: The attribute `n_features_` is deprecated in 1.0 and will be removed in 1.2. Use `n_features_in_` instead.
  warnings.warn(msg, category=FutureWarning)

#X_y['Dry1/Wet2'].unique()

# Calculating Variable Correlation Matrix
X_y = data.loc[:,[
#    'STATE_CODE',
#    'SHRP_ID',
#    'YEAR',
    'CONSTRUCTION_NO',
    'MAX_MEAN_DEPTH_1_8',
    'ANL_KESAL_LTPP_LN_YR',
    'TOTAL_ANN_PRECIP',
    'FREEZE_INDEX_YR',
    'MAX_ANN_TEMP_AVG',
    'MAX_ANN_TEMP_DAYS',
    'DAYS_ABOVE_32_C_YR',
    'MR_MATL_TYPE',
    'RES_MOD_AVG',
    'REPR_THICKNESS'
]]

df = X_y
cor = df.corr(method='pearson')#.round(2)
print(cor)

                      CONSTRUCTION_NO  MAX_MEAN_DEPTH_1_8  \
CONSTRUCTION_NO          1.000000e+00            0.103257   
MAX_MEAN_DEPTH_1_8       1.032567e-01            1.000000   
ANL_KESAL_LTPP_LN_YR    -3.433766e-02            0.061075   
TOTAL_ANN_PRECIP        -1.062133e-02           -0.200334   
FREEZE_INDEX_YR         -4.148326e-02            0.068093   
MAX_ANN_TEMP_AVG        -3.996429e-04           -0.014790   
MAX_ANN_TEMP_DAYS       -3.533686e-03           -0.072834   
DAYS_ABOVE_32_C_YR      -2.927589e-02            0.058307   
MR_MATL_TYPE             2.433272e-02           -0.065343   
RES_MOD_AVG             -8.406251e-02           -0.047544   
REPR_THICKNESS           1.364402e-15            0.095022   

                      ANL_KESAL_LTPP_LN_YR  TOTAL_ANN_PRECIP  FREEZE_INDEX_YR  \
CONSTRUCTION_NO                  -0.034338         -0.010621        -0.041483   
MAX_MEAN_DEPTH_1_8                0.061075         -0.200334         0.068093   
ANL_KESAL_LTPP_LN_YR              1.000000          0.047736        -0.049823   
TOTAL_ANN_PRECIP                  0.047736          1.000000        -0.464429   
FREEZE_INDEX_YR                  -0.049823         -0.464429         1.000000   
MAX_ANN_TEMP_AVG                 -0.039500          0.324708        -0.729573   
MAX_ANN_TEMP_DAYS                 0.024355          0.224673        -0.080316   
DAYS_ABOVE_32_C_YR               -0.116458         -0.145380        -0.318366   
MR_MATL_TYPE                      0.011551          0.038681         0.030399   
RES_MOD_AVG                      -0.058189          0.120521        -0.065791   
REPR_THICKNESS                   -0.013423          0.009767         0.001282   

                      MAX_ANN_TEMP_AVG  MAX_ANN_TEMP_DAYS  DAYS_ABOVE_32_C_YR  \
CONSTRUCTION_NO              -0.000400          -0.003534           -0.029276   
MAX_MEAN_DEPTH_1_8           -0.014790          -0.072834            0.058307   
ANL_KESAL_LTPP_LN_YR         -0.039500           0.024355           -0.116458   
TOTAL_ANN_PRECIP              0.324708           0.224673           -0.145380   
FREEZE_INDEX_YR              -0.729573          -0.080316           -0.318366   
MAX_ANN_TEMP_AVG              1.000000          -0.011619            0.758103   
MAX_ANN_TEMP_DAYS            -0.011619           1.000000           -0.301622   
DAYS_ABOVE_32_C_YR            0.758103          -0.301622            1.000000   
MR_MATL_TYPE                 -0.094007           0.171278           -0.121294   
RES_MOD_AVG                   0.125334          -0.019662            0.081725   
REPR_THICKNESS               -0.030953          -0.058396            0.016282   

                      MR_MATL_TYPE  RES_MOD_AVG  REPR_THICKNESS  
CONSTRUCTION_NO       2.433272e-02    -0.084063    1.364402e-15  
MAX_MEAN_DEPTH_1_8   -6.534267e-02    -0.047544    9.502154e-02  
ANL_KESAL_LTPP_LN_YR  1.155129e-02    -0.058189   -1.342251e-02  
TOTAL_ANN_PRECIP      3.868103e-02     0.120521    9.766727e-03  
FREEZE_INDEX_YR       3.039862e-02    -0.065791    1.282365e-03  
MAX_ANN_TEMP_AVG     -9.400697e-02     0.125334   -3.095264e-02  
MAX_ANN_TEMP_DAYS     1.712776e-01    -0.019662   -5.839551e-02  
DAYS_ABOVE_32_C_YR   -1.212937e-01     0.081725    1.628159e-02  
MR_MATL_TYPE          1.000000e+00    -0.120653    1.926644e-15  
RES_MOD_AVG          -1.206527e-01     1.000000    5.412677e-02  
REPR_THICKNESS        1.926644e-15     0.054127    1.000000e+00  

# Visualizing Correlation Matrix
plt.figure(figsize=(20,20))

ax = sns.heatmap(cor, vmax=1, vmin=-1, square=True, annot=True, center=0, cmap='vlag')
ax.set_xticklabels(
    ax.get_xticklabels(),
    rotation=45,
    horizontalalignment='right')

sns.set(font_scale=1.5)

plt.show()

# Feature Importance
RF_importance = pd.DataFrame(
    {"feature": list(X.columns), "importance": RF_model.feature_importances_}
).sort_values("importance", ascending=False)

RF_importance



fig, ax = plt.subplots()
RF_importance.plot.bar(ax=ax, legend=False)
plt.xticks(np.arange(len(RF_importance.feature)),RF_importance.feature, rotation=45, ha="right")
plt.title('Input Variable Importance', fontsize=16)
plt.xlabel("Input Variable", fontsize=14)
plt.ylabel("Importance", fontsize=14)

Text(0, 0.5, 'Importance')

# Number of trees vs testing/training scores with out hyperparameter tuning
RF_model1 = RandomForestRegressor(n_estimators=1)
test_score_list = []
train_score_list = []
cv_score_list = []
for i in range (1, 51):
    RF_model1.fit(X_train,y_train.values.ravel())
    train=RF_model1.score(X_train,y_train)
    test=RF_model1.score(X_test,y_test)
    cv = ShuffleSplit(n_splits=10, test_size=0.2, random_state=42)
    cv_score = cross_val_score(RF_model1, X_train, y_train.values.ravel(), cv=cv)
    avg_cv_score = cv_score.mean()
    
    test_score_list.append(test)
    train_score_list.append(train)
    cv_score_list.append(avg_cv_score)
    
    RF_model1.n_estimators = RF_model1.n_estimators + 1
    
    
print('test_scores:', test_score_list)
print('train_scores:', train_score_list)
print('cv_scores:', cv_score_list)

fig, ax = plt.subplots()
fig = plt.figure(figsize = (20,20))
plt.grid()
ax.set_xlabel("The number of trees in RF model")
ax.set_ylabel("Accuracy")
ax.set_title("Accuracy vs the number of trees")
ax.plot(train_score_list, '-', label="Train",
        drawstyle="steps-post", linewidth=2, markersize=12)
ax.plot(test_score_list, '-', label="Test",
        drawstyle="steps-post", linewidth=2, markersize=12)
ax.plot(cv_score_list, '-', label="Cross_validation",
        drawstyle="steps-post", linewidth=2, markersize=12)
ax.legend()
plt.show()

test_scores: [0.9494554791968983, 0.9542453422213634, 0.9553790197248179, 0.9565142527704975, 0.9555697821801115, 0.9549158271636702, 0.9594421925543533, 0.9583384684811098, 0.9575383252100452, 0.9579067444267542, 0.9582437806080033, 0.9575799745605997, 0.9589200423910793, 0.9573211712503407, 0.9573960441066888, 0.9584412980626442, 0.9582084260472995, 0.9583207871759204, 0.9593786246872246, 0.9590525528036524, 0.9577220948638114, 0.9587532208585086, 0.9584485807937407, 0.9576674513362166, 0.9583661655648361, 0.9577538660875073, 0.9592020188290827, 0.9585809093594585, 0.9587479787538672, 0.9596321280198662, 0.9580432824538301, 0.9581933410932275, 0.9577268699078545, 0.9574195411097499, 0.9578348052028031, 0.9578226111257871, 0.9588205638251021, 0.9581303986868345, 0.9584405390973236, 0.9577754826337481, 0.9581553640556209, 0.9580092103553561, 0.9580797823040053, 0.9590461706682598, 0.957863328270905, 0.9584195989568937, 0.9579702383435279, 0.9586292295468571, 0.9582531132117176, 0.9586232400611278]
train_scores: [0.9781236653549777, 0.9790993328273246, 0.9811074729688256, 0.9815760285282409, 0.9828390799214063, 0.9825256026116322, 0.9836082890647786, 0.9842007601088726, 0.9837371915342789, 0.9840478803172712, 0.9840121274032017, 0.9840098011818337, 0.9841383890793558, 0.9845438381431639, 0.9843570951841376, 0.9841485854102682, 0.9845410501861708, 0.98458725431002, 0.9846460950416521, 0.9846654165114731, 0.9842775479272233, 0.98467672608307, 0.9846712437918155, 0.9846171023604193, 0.984583101826799, 0.9844509251360031, 0.9845590756028433, 0.9844865557459748, 0.9846529047186713, 0.9847687232546932, 0.9844893071798404, 0.9847725329675299, 0.9845985815676978, 0.9847835431657987, 0.9843861082009466, 0.9847987020841237, 0.9846845303468096, 0.9846647179172201, 0.9847324917696006, 0.9848354936542683, 0.9847971419990263, 0.9849259418413101, 0.9847732884724527, 0.9847408622501502, 0.9847277003544558, 0.9847537396823857, 0.9848100782550704, 0.9848182942117781, 0.984921563799681, 0.9848136899648093]
cv_scores: [0.9479198214776121, 0.9586302053450675, 0.960889299320067, 0.9609358994166382, 0.9631919615812483, 0.9605749106596546, 0.9645301322756114, 0.9632440161360816, 0.9637187825796525, 0.9642845604444246, 0.9640034931782994, 0.9628897729659445, 0.9631850030340589, 0.9634161925731514, 0.9646731935328209, 0.9644058905290537, 0.964885899701861, 0.9640470929544737, 0.9640561101051037, 0.9651319623004369, 0.9647535376377718, 0.9647133149760858, 0.9651873691381934, 0.9644809143887203, 0.9641548049478436, 0.9649185411041327, 0.9647630787330362, 0.9644438330646299, 0.963891015203652, 0.9647118460438057, 0.9644405551031594, 0.964780203615945, 0.9648413453011091, 0.9643489065433235, 0.9643511391834926, 0.9651313868962521, 0.9647684926586753, 0.964603472113914, 0.9645776165887476, 0.9648788274963833, 0.9647906957792557, 0.9648005497463918, 0.9650006413800531, 0.9647332310336107, 0.9644510764083496, 0.9651088303035321, 0.9648304597572546, 0.9643846090556275, 0.9650154516437137, 0.9649560789370255]

fig, ax = plt.subplots(figsize = (10,10))
plt.grid()

ax.set_xlabel("The number of trees in RF model", size=15)
ax.set_ylabel("Accuracy", size=15)
ax.set_title("Accuracy vs the number of trees",size=15)
ax.plot(train_score_list, '-', label="Train",
        drawstyle="steps-post", linewidth=2, markersize=20)
ax.plot(test_score_list, '-', label="Test",
        drawstyle="steps-post", linewidth=2, markersize=20)
ax.plot(cv_score_list, '-', label="Cross_validation",
        drawstyle="steps-post", linewidth=2, markersize=20)

ax.legend(fontsize=15)
plt.show()

# Random Forest Hyperparameter Grid Search 

# Number of trees in the RF
n_estimator = [1,2,3,4,5]

# Number of features to consider at every split
max_features = list(range(2,31,2))

# Max tree depth
max_depth = list(range(2,31,2))


# Min number of samples required to split a node
# min_samples_split = list(range(4,26,2))

# Min number of samples at each leaf 
min_samples_leaf = list(range(2,43,2))

# # Method of selecting samples for training each tree
# bootstrap = [True, False]

# Create the grid search
random_grid = {'n_estimators': n_estimator,
               'max_features': max_features,
               'max_depth': max_depth,
#                'min_samples_split': min_samples_split,
               'min_samples_leaf': min_samples_leaf}
               #'bootstrap': bootstrap}

print(random_grid)

{'n_estimators': [1, 2, 3, 4, 5], 'max_features': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30], 'max_depth': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30], 'min_samples_leaf': [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42]}

# Start the grid search
start_time = time.time()
RF_search = GridSearchCV(RF_model, 
                   random_grid,
                   cv = 10, verbose=5,
                   n_jobs=-1)
# Train the model 
RF_search.fit(X_train, y_train.values.ravel())


print('Best parameters:', RF_search.best_params_)
print("--- %s seconds ---" %  (time.time() - start_time))
;

Fitting 10 folds for each of 23625 candidates, totalling 236250 fits
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.053 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.091 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.072 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.055 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.048 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.105 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.114 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.074 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.179 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.067 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.057 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.081 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.033 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.095 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.031 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.020 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.045 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.152 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.048 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.091 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.081 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.029 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.086 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.026 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.040 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.070 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.047 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.040 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.069 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.053 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.138 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.065 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.072 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.065 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.037 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.075 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.054 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.073 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.018 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.069 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.101 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.064 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.064 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.120 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.073 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.071 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.057 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.087 total time=   0.0s[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.101 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.056 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.073 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.069 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.067 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.071 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.043 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.092 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.041 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.055 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.088 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.059 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.088 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.095 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.071 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.074 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.106 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.091 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.049 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.110 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.064 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.043 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.051 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.055 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.070 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.078 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.076 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.087 total time=   0.0s

[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.101 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.095 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.051 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.059 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.110 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.049 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.058 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.051 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.006 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.017 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.065 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.101 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.135 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.092 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.101 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.105 total time=   0.0s[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.086 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.004 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.042 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.137 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.084 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.151 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.062 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.091 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.126 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.071 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.076 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.054 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.038 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.052 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.050 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.052 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.082 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.154 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.085 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.041 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.051 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.105 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.064 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.093 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.045 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.092 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.094 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.118 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.070 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.141 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.095 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.078 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.044 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.050 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.044 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.175 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.091 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.084 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.069 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.089 total time=   0.0s[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=-0.000 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.042 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.067 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.108 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.092 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.098 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.109 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.070 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.069 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.104 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.041 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.022 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.094 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.096 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.144 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.109 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.088 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.078 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.142 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.112 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.081 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.016 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.065 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.133 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.072 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.016 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.023 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.059 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.047 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.014 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.055 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.036 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.080 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.034 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.066 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.038 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.041 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.058 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.120 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.029 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.043 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.065 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.094 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.073 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.066 total time=   0.0s

[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.144 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.101 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.057 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.070 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.064 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.085 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.086 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.032 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.067 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.069 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.023 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.061 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.065 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.064 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.062 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.030 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.073 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.065 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.068 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.057 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.041 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.100 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.109 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.058 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.077 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.039 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.091 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.074 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.072 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.067 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.122 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.086 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.085 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.055 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.123 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.051 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.066 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.069 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.069 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.060 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.111 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.066 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.057 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.075 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.034 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.048 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.060 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.126 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.076 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.087 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.095 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.038 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.070 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.057 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.057 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.052 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.048 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.048 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.090 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.012 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.003 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.053 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.015 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.081 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.045 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.110 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.069 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.110 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.079 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.095 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.056 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.079 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.132 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.049 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.050 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.047 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.033 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.046 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.029 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.034 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.149 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.109 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.122 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.087 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.027 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.002 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.077 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.128 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.072 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.148 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.083 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.062 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.075 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.087 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.107 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.086 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.070 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.044 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.062 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.125 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.086 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.073 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.122 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.045 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.096 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.113 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.070 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.012 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.014 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.103 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.023 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.087 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.038 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.090 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.059 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.073 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.072 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.104 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.102 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.023 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.047 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.057 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.109 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.079 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.095 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.055 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.069 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.090 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.063 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.035 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.060 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.020 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.072 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.097 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.070 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.083 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.045 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.083 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.063 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.069 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.082 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.063 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.021 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.028 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.055 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.023 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=1;, score=-0.001 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.071 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.067 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.071 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.044 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.081 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.110 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.077 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.053 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.043 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.057 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.064 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.073 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.087 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.058 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.111 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.102 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.088 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.101 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.073 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.120 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.098 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.075 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.065 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.085 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.078 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.132 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.075 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.067 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.150 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.126 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.080 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.127 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.104 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.100 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.093 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.071 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.139 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.068 total time=   0.0s

[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.099 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.070 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.075 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.098 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.030 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.085 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.042 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.074 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.094 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.056 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.093 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.107 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.067 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.046 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.164 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.104 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.043 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.052 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.101 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.068 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.054 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.016 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.042 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.121 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=-0.006 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.088 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.065 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.108 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.033 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.048 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.056 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.075 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.097 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.160 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.044 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.045 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.062 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.102 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.069 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.090 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.056 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.069 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.169 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.073 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.078 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.044 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.081 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.081 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.011 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.029 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.047 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.059 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.060 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.132 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.135 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.076 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.071 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.006 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.068 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.072 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.099 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.106 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.079 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.045 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.070 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.079 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.045 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.071 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.144 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.099 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.082 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.140 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.075 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.024 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.094 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.053 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.070 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.140 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.086 total time=   0.1s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.069 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.062 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.063 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.132 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=-0.001 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.037 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.075 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.079 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.138 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.013 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.035 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.056 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.111 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.047 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.110 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.083 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.080 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.056 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.087 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.057 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.084 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.086 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.056 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.032 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.022 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.052 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.029 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.004 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.078 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.039 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.077 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.070 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.019 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.061 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.122 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.067 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.075 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.039 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.045 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.069 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.059 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.075 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.123 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.084 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.091 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.115 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.062 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.063 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.081 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.047 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.104 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.053 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.039 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=-0.002 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.093 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.023 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.050 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.060 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.042 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.093 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.041 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.064 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.091 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.061 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.066 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.079 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.062 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.014 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.064 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.061 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.071 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.069 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.087 total time=   0.1s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.098 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.053 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.084 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.071 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.094 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.086 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.084 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.059 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.122 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.100 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.078 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.080 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.138 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.066 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.040 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.030 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.050 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.067 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.043 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.073 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.190 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.113 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.068 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.126 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.000 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.085 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.065 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.113 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.073 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.066 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.089 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.084 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.048 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.066 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.069 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.094 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.116 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.093 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.030 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.090 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.056 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.079 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.053 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.095 total time=   0.1s

[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.076 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.093 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.070 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.087 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.106 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.083 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.074 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.067 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.016 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.031 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.010 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.114 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.089 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.061 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.056 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.049 total time=   0.1s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.082 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.098 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.041 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.033 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.014 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.027 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.037 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.022 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.040 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.075 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.055 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.045 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.078 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.073 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.079 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.098 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.110 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.061 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.125 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.068 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.127 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.115 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.064 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.021 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.174 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.050 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.047 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.174 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.095 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.114 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.054 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.076 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.068 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.083 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.028 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.017 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.055 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.034 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.097 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.101 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.066 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.062 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.099 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.075 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.069 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.059 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.052 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.057 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.048 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.049 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.069 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.063 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.061 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.131 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.105 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.072 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.063 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.141 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.070 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.064 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.053 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.141 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=-0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.019 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.125 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.100 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.126 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.121 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.080 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.105 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.127 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.051 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.199 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.069 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.090 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.016 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.093 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.090 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.127 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.070 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.055 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.099 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.074 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.078 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.060 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.042 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.024 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.052 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.026 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.088 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.027 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.077 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.085 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.042 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.038 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.096 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.062 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.043 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.078 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.067 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.092 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.089 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.084 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.114 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.057 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.137 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.084 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.107 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.057 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.123 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.061 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.156 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.087 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.145 total time=   0.0s

[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.127 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.090 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.113 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.056 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=1;, score=-0.033 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.101 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.078 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.044 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.059 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.082 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.035 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.065 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.087 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.120 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.177 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.084 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.027 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.052 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.096 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.034 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.128 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.166 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.098 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.126 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.061 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.043 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.138 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.063 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.104 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.056 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.024 total time=   0.0s

[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.127 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.011 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.059 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.150 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.087 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.109 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.095 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.173 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.084 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.051 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.121 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.100 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.174 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.112 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.148 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.109 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.162 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.116 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.035 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.140 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.164 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.053 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.059 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.021 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.086 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.126 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.071 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.028 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.049 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.128 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.083 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.074 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.100 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.102 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.105 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.118 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.058 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.054 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.092 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.040 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.076 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.097 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.079 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.037 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.072 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.076 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.173 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.131 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.060 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.036 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.063 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.056 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.105 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.086 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.118 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.148 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.153 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.038 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.062 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.015 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.030 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.061 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.077 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.111 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.174 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.153 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.050 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.077 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.083 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.088 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.165 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.178 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.071 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.123 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.054 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.155 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.098 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.128 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.140 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.049 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.038 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.046 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.137 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.079 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.099 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.069 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.105 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.107 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.081 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.077 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.073 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.125 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.162 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.128 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.092 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.088 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.112 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.075 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.075 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.015 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.097 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.124 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.158 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.074 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.014 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.085 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.114 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.139 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.154 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.059 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.175 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.054 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.171 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.018 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.191 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.058 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.119 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.062 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.164 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.122 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.113 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.079 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.055 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.069 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.034 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.060 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.089 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.093 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.060 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.041 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.101 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.145 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.089 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.106 total time=   0.0s

[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.136 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.109 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.157 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.202 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.053 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.064 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.117 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.094 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.146 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.094 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.022 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.112 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.114 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.054 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.081 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.062 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.063 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.008 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.060 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.067 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.041 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.166 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.067 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.114 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.050 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.079 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.024 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.043 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.052 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.074 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.163 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.151 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.068 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.022 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.083 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.119 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.053 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.098 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.131 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.088 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.043 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.123 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.058 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.104 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.071 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.047 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.057 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.025 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.034 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.117 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.110 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.111 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.091 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.097 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.043 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.075 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.054 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.059 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.058 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.097 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.144 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.073 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.095 total time=   0.1s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.050 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.085 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.050 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.109 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.099 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.109 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.080 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.126 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.016 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.064 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.105 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.103 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.064 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.220 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.100 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.137 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.105 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.161 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.034 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.162 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.017 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.051 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.125 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.089 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.065 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.155 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.194 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.060 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.024 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.051 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.110 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=-0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.090 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.122 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.031 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.086 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.122 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.019 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.098 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.066 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.080 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.097 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.157 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.088 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.065 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.077 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.080 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.146 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.107 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.171 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.090 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.138 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.089 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.173 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.149 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.137 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.125 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.085 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.089 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.111 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.109 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.104 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.070 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.073 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.109 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.108 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.062 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.092 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.089 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.038 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.140 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.127 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.058 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.060 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.089 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.153 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.155 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.088 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.121 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.093 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.047 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.068 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.039 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.034 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.101 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.077 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.096 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.099 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.087 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.150 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.044 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.173 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.052 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=-0.017 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.064 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.023 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.124 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.130 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.051 total time=   0.0s

[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.068 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.053 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.064 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.064 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.086 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.040 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.160 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.116 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.045 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.075 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.067 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.045 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.161 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.099 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.117 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.088 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.051 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.120 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.068 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.070 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.066 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.128 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.086 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.154 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.068 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.060 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.086 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.085 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.128 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.065 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.064 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.094 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=-0.012 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.043 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.085 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.083 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.110 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.040 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.033 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.089 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.026 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.077 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.089 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.117 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.153 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.048 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.074 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.119 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.128 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.089 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.145 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.085 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.043 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.080 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.081 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.041 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.053 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.077 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.127 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.076 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.094 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.064 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.066 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.054 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.037 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.084 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.152 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.118 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.154 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.117 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.091 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.037 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.114 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.071 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.064 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.147 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.065 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.169 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.122 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.084 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.058 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.132 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.101 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.108 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.095 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.155 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.078 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.127 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.090 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.067 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.078 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.164 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.116 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.115 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.156 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.106 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.078 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.124 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.071 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.091 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.045 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.157 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.145 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.090 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.149 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.093 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.020 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.063 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.128 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.103 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.023 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.134 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.130 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.102 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.062 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.073 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.076 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.153 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.079 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.111 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.012 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.096 total time=   0.0s

[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.164 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.125 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.133 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.175 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.090 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.109 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.137 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.153 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.003 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.090 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.118 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.128 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.080 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.078 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.090 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.088 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.049 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.064 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.072 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.080 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.168 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.132 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.056 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.039 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.130 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.162 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.107 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.083 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.113 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.081 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.104 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.149 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.194 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.105 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.053 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.046 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.111 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.058 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.097 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.090 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.137 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.187 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.120 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.110 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.145 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.115 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.107 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.160 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.097 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.121 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.145 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.149 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.156 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.108 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.104 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.062 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.071 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.113 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.127 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.126 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.114 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.114 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.131 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.088 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.193 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.143 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.172 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.168 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.136 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.084 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.132 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.177 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.125 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.166 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.132 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.105 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.151 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.110 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.210 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.134 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.090 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.059 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.119 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.150 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.157 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.150 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.018 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.076 total time=   0.0s

[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.134 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=-0.025 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.092 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.111 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.143 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.147 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.091 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.054 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.084 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.026 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.111 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.099 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.172 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.166 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.130 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.118 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.080 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.066 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.089 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.060 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.105 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.140 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.088 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.150 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.084 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.118 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.042 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.023 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.058 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.104 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.105 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.090 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.084 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.155 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.093 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.114 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.152 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.066 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.015 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.074 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.138 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.092 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.141 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.063 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.125 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.064 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.024 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.101 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.059 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.154 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.148 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.068 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.184 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.157 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.044 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.152 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.076 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.099 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.067 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.142 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.162 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=-0.034 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.037 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.072 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.087 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.110 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.210 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.136 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.121 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.105 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.139 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.063 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.130 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.045 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.177 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.028 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.070 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.180 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.091 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.069 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.057 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.089 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.169 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.062 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.169 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.200 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.088 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.023 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.096 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.088 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.108 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.153 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.122 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.121 total time=   0.0s

[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.162 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.094 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.142 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.127 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.080 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.079 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.149 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.216 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.084 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.061 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.118 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=-0.013 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.112 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.077 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.120 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.108 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.073 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.067 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.085 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.102 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.048 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.049 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.106 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.119 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.136 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.088 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.184 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.046 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.057 total time=   0.0s

[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.167 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.126 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.130 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.130 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.149 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.119 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.049 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.062 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.070 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.035 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.072 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.114 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.149 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.154 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.129 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.135 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.054 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.180 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.118 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.101 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.058 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.125 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.073 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.118 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.175 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.191 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.127 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.163 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.178 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.136 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.107 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.034 total time=   0.0s

[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.062 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.180 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.134 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.081 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.188 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.190 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.079 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.026 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.160 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.154 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.119 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.107 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.129 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.135 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.086 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.117 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.130 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.157 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.053 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.078 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.024 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.028 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.119 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.119 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.142 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.081 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.011 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.087 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.145 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.096 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.017 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.041 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.109 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.121 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.063 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.084 total time=   0.0s

[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.174 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.135 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.175 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.087 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.020 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.062 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.047 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.096 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.187 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.164 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.117 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.183 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.070 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.133 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.193 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.099 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.080 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.119 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.117 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.150 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.085 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.122 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.149 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.094 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.134 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.158 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.065 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.069 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.143 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.114 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.120 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.161 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.080 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.058 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.054 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.133 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.073 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.079 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.069 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.177 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.190 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.078 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.079 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.054 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.197 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.070 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.177 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.140 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.136 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.178 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.186 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.092 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.077 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.120 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.088 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.131 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.126 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.155 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.094 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.053 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.126 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.104 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.155 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.115 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.174 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.114 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.055 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.150 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.094 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.158 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.111 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.062 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.180 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.082 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.061 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.050 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.157 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.122 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.181 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.092 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.090 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.164 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.085 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.145 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.184 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.139 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.177 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.081 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.186 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.052 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.161 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.132 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.112 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.131 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.107 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.145 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.197 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.075 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.043 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.212 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.068 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.128 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.055 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.095 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.107 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.160 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.154 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.138 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.080 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.218 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.071 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.134 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.059 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.104 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.071 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.085 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.051 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.164 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.128 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.120 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.056 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.019 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.166 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.035 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.100 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.128 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.083 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.132 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.166 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.187 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.138 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.122 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.214 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.048 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.142 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.098 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.134 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.081 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.119 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.218 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.126 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.212 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.219 total time=   0.0s

[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.100 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.134 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.098 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.034 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.094 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.164 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.088 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.075 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.071 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.093 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.178 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.140 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.205 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.129 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.092 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.135 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.092 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.080 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.122 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.214 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.012 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.131 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.135 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.174 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.110 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.082 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.136 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.097 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.099 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.150 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.158 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.191 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.137 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.128 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.127 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.129 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.136 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.154 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.146 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.148 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.155 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.121 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.123 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.191 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.148 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.163 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.123 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.119 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.071 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.190 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.077 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.145 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.028 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.098 total time=   0.0s

[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.129 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.139 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.093 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.047 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.178 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.007 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.069 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.140 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.071 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.148 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.072 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.095 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.124 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.099 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.165 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.131 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.186 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.159 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.073 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.135 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.055 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.142 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.095 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.094 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.108 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=-0.002 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.107 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.056 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.116 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.128 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.144 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.188 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.024 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.116 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.109 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.149 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.142 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.103 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.144 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.109 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.143 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.128 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.199 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.148 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.113 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.055 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=-0.020 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.080 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.071 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.120 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.103 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.169 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.117 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.178 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.132 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.178 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.090 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.144 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.186 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.030 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.059 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.120 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.094 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.187 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.106 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.057 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.015 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.058 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.171 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.027 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.041 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.143 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.090 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.041 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.200 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.068 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.047 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.166 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.120 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.194 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.075 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.153 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.096 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.174 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.208 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.159 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.145 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.110 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.151 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.090 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.148 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.060 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.158 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.149 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.098 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.071 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.170 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.095 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.216 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.062 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.084 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.151 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.096 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.187 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.115 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.002 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.123 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.068 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.194 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.062 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.134 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.068 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.154 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.174 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.084 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.135 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.069 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.056 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.045 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.043 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.176 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.094 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.112 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.052 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.026 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.195 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.137 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.065 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.113 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.147 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.164 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.190 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.127 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.205 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.140 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.080 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.034 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.132 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.068 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.093 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.123 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.169 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.080 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.077 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.132 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.074 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.096 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.143 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.041 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.077 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.061 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.180 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.194 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.137 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.136 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.134 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.076 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.101 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.057 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.048 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.194 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.008 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.096 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.119 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.173 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.105 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.095 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.195 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.155 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.076 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.139 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.138 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.135 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.130 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.096 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.068 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.121 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.151 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.107 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.133 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.143 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.098 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.191 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.166 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.122 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.115 total time=   0.0s

[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.198 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.139 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.109 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.149 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.012 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.097 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.095 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.116 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.161 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.050 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.169 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.169 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.179 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.111 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.192 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.102 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.175 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.202 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.133 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.037 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.128 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.151 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.053 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.148 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.099 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.099 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.079 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.073 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.081 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.131 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.186 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.128 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.135 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.049 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.059 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.102 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.083 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.200 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.023 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.117 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.088 total time=   0.1s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.148 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.081 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.116 total time=   0.0s

[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.048 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.084 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.175 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.189 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.056 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.173 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.035 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.015 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.103 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.191 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.131 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.036 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.070 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.201 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.075 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.148 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.142 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.197 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.100 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.143 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.127 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.105 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.118 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.130 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.127 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.173 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.073 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.099 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.088 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.155 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.188 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.091 total time=   0.0s

[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.097 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.130 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.117 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.140 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.176 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.157 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.114 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.126 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.124 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.165 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.099 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.175 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.117 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.180 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.142 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.204 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.221 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.134 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.130 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.187 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.216 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.057 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.106 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.108 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.122 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.183 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.082 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.217 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.181 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.103 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.222 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.197 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.026 total time=   0.0s

[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.077 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.208 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.047 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.159 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.129 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.167 total time=   0.1s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.107 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.107 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.056 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.071 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.069 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.085 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.061 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.122 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.035 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.118 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.162 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.198 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.127 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.214 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.034 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.081 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.128 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.205 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.197 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.132 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.109 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.217 total time=   0.0s

[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.139 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.082 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.171 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.205 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.030 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.134 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.157 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.061 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.109 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.134 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.139 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.068 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.015 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.092 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.222 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.103 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.012 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.125 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.176 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.069 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.092 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.177 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.199 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.075 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.098 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.219 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.028 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.130 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.099 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.066 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.119 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.078 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.172 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.082 total time=   0.0s

[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.202 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.213 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.080 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.144 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.135 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.065 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.068 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.042 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.072 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.217 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.025 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.129 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.058 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.178 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.078 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.191 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.111 total time=   0.1s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.168 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.134 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.193 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.121 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.079 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.137 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.202 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.112 total time=   0.0s

[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.057 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.132 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.120 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.064 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.076 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.115 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.197 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.098 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.197 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.130 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.036 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.044 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.143 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.094 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.143 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.090 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.049 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.110 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.094 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.090 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.020 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.172 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.178 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.128 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.210 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.198 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.010 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.139 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.133 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.156 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.025 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.174 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.123 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.026 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.125 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.137 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.190 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.121 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.212 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.050 total time=   0.1s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.140 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.074 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.190 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.031 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.060 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.091 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.036 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.115 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.123 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.101 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.199 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.147 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.064 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.227 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.153 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.085 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.125 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.103 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.113 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.062 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.060 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.082 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.136 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.101 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.205 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.121 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.038 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.194 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.129 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.127 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.131 total time=   0.0s

[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.178 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.208 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.045 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.086 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.162 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.067 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.109 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.098 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.121 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.085 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.079 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.195 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.203 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.125 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.094 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.093 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.142 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.128 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.120 total time=   0.1s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.105 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.219 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.092 total time=   0.1s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.122 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.063 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.088 total time=   0.1s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.134 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.180 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.082 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.148 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.131 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.126 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.198 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.126 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.056 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.147 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.114 total time=   0.0s

[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.201 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.053 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.102 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.219 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.147 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.066 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.183 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.204 total time=   0.1s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.089 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.197 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.176 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.136 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.086 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.136 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.152 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.154 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.065 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.049 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.098 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.083 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.141 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.187 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.122 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.159 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.129 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.124 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.216 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.119 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.143 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.099 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.206 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.139 total time=   0.1s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.062 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.070 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.089 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.200 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.024 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.122 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.108 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.067 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.116 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.177 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.115 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.105 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.071 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.146 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.201 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.097 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.096 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.097 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.123 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.212 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.109 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=-0.017 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.156 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.130 total time=   0.1s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.198 total time=   0.1s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.018 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.092 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.179 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.117 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.056 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.100 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.201 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.097 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.088 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.219 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.085 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.026 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.089 total time=   0.0s

[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.191 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.108 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.106 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.209 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.048 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.136 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.202 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.009 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.081 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.110 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.040 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.161 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.100 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.126 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.151 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.108 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.205 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.201 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.127 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.132 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.114 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.103 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.041 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.082 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.104 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.213 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.046 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.053 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.111 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.195 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.211 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.026 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.095 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.147 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.070 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.074 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.186 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.074 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.087 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.130 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.126 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.081 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.161 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.087 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=-0.001 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.136 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.086 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.089 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.168 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.111 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.104 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.110 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.205 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.117 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.182 total time=   0.0s

[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.116 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.125 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.179 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.062 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.072 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.054 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.124 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.199 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.102 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.102 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.104 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.191 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.093 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.207 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.072 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.069 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.152 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.103 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.051 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.123 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.111 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.144 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.190 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.107 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.099 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.087 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.084 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.142 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.093 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.099 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.093 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.194 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.112 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.099 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.208 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.084 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.072 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.063 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.065 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.197 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.035 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.091 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.029 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.076 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.117 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.110 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.100 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.128 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.143 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.132 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.073 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.101 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.189 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.112 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.112 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.113 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.096 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.110 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.097 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.193 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.043 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.135 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.095 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.071 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.121 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.187 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.039 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.199 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.138 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.131 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.181 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.109 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.130 total time=   0.0s

[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.107 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.220 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.047 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.142 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.127 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.123 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.219 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.037 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.163 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.188 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.113 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.208 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.065 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.137 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.098 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.204 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.037 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.123 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.091 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.032 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.140 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.090 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.192 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.088 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.151 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.114 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.119 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.183 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.112 total time=   0.1s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.113 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.100 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.224 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.145 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.097 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.086 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.125 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.203 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.116 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.123 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.102 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.217 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.084 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.179 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.052 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.121 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.120 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.103 total time=   0.1s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.059 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.150 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.067 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.095 total time=   0.0s
[CV 5/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.115 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.091 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.220 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.037 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.133 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.075 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.090 total time=   0.0s
[CV 7/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.094 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.175 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.050 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.142 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.071 total time=   0.0s
[CV 2/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.088 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.177 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.042 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.030 total time=   0.0s
[CV 10/10] END max_depth=2, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.154 total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.127 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.154 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.087 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.103 total time=   0.0s

[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.232 total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.170 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.239 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.272 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.160 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.223 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.162 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.300 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.197 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.146 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.270 total time=   0.0s

[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.137 total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.248 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.296 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.241 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.170 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.247 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.326 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.210 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.071 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.030 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.179 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.227 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.076 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.184 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.146 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.135 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.156 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.126 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.140 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.245 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.156 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.182 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.211 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.220 total time=   0.0s

[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.185 total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=2, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.301 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.160 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.163 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.172 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.219 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.230 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.227 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.134 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.255 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.223 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.239 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.236 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.247 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.247 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.193 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.237 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.139 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.222 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.244 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.218 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.239 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.218 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.289 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.240 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.290 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.210 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.202 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.203 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.237 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.273 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.238 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.208 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.235 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.258 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.266 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.191 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.166 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.198 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.272 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.193 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.140 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.130 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.104 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.172 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.160 total time=   0.0s

[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.207 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.121 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.103 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.174 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.152 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.107 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.216 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.161 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.200 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.163 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.213 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.181 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.121 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.155 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.203 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.174 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.145 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.238 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.291 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.285 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.189 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.245 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.181 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.325 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.188 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.244 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.083 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.207 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.192 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.293 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.130 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.180 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.218 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.267 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.217 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.162 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.177 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.247 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.247 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.198 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.246 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.282 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.186 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.167 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.219 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.211 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.280 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.251 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.188 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.235 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.178 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.270 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.327 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.260 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.207 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.195 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.322 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.221 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.257 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.140 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.262 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.312 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.213 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.244 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.167 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.196 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.241 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.303 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.300 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.217 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.238 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.291 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.199 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.315 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.105 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.171 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.292 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.171 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.157 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.178 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.186 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.228 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.171 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.094 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.276 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.172 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.319 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.164 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.246 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.098 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.155 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.143 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.248 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.136 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.170 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.204 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.172 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.138 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.195 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.283 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.185 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.238 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.178 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.163 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.227 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.164 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.238 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.292 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.144 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.152 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.152 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.291 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.162 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.287 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.204 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.226 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.179 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.264 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.151 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.314 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.215 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.149 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.177 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.205 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.196 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.180 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.262 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.156 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.149 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.233 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.215 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.135 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.220 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.259 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.231 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.338 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.220 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.157 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.268 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.252 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.193 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.209 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.114 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.181 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.216 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.169 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.272 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.215 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.229 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.200 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.181 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.174 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.212 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.226 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.166 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.157 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.216 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.257 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.196 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.190 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.110 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.165 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.013 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.154 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.231 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.320 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.092 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.202 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.145 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.161 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.204 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.257 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.151 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.208 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.130 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.026 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.136 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.169 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.028 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.193 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.116 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.117 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.184 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.165 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.230 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.175 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.205 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.178 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.265 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.202 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.255 total time=   0.0s

[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.119 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.132 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.156 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.214 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.097 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.166 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.120 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.178 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.266 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.267 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.164 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.129 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.226 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.235 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.198 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.138 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.231 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.215 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.243 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.146 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.295 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.217 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.240 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.198 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.168 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.315 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.150 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.178 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.289 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.282 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.164 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.240 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.191 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.274 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.310 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.273 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.130 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.210 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.201 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.175 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.307 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.282 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.211 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.177 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.177 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.242 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.221 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.177 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.188 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.227 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.235 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.186 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.222 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.242 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.184 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.213 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.180 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.190 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.161 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.223 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.203 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.034 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.077 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.268 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.211 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.236 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.240 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.205 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.161 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.186 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.112 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.300 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.218 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.181 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.220 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.160 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.193 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.236 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.164 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.168 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.226 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.194 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.191 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.239 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.179 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.174 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.186 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.206 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.311 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.181 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.220 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.187 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.234 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.223 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.206 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.164 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.254 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.308 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.289 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.200 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.176 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.160 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.263 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.222 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.129 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.147 total time=   0.0s

[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.290 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.162 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.115 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.190 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.100 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.133 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.204 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.120 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.160 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.138 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.201 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.168 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.106 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.160 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.176 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.154 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.111 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.251 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.155 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.089 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.192 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.142 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.146 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.159 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.090 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.114 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.138 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.183 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.083 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.362 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.186 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.252 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.234 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.108 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.093 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.138 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.213 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.227 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.172 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.144 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.078 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.161 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.191 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.198 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.148 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.268 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.205 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.159 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.126 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.166 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.105 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.168 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.078 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.054 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.229 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.167 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.184 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.156 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.278 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.178 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.174 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.127 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.123 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.064 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.257 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.180 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.202 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.179 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.186 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.261 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.231 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.179 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.163 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.261 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.161 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.175 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.182 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.143 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.258 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.249 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.219 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.262 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.158 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.163 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.213 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.203 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.200 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.205 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.192 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.276 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.230 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.257 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.218 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.186 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.169 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.264 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.190 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.154 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.167 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.223 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.234 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.280 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.016 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.171 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.150 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.198 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.194 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.218 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.222 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.090 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.143 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.171 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.139 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.195 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.222 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.194 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.372 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.191 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.163 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.244 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.153 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.161 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.190 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.170 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.183 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.244 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.233 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.219 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.222 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.187 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.305 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.210 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.262 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.133 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.233 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.251 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.279 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.215 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.158 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.196 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.243 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.185 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.284 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.123 total time=   0.0s

[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.150 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.104 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.017 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.137 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.150 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.251 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.253 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.218 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.210 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.269 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.156 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.268 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.159 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.256 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.250 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.200 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.151 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.170 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.177 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.231 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.201 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.234 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.189 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.210 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.195 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.177 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.185 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.325 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.183 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.175 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.174 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.152 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.200 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.141 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.126 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.181 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.205 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.321 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.196 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.145 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.154 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.135 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.179 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.265 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.214 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.217 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.177 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.186 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.173 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.240 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.211 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.185 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.198 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.244 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.167 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.222 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.217 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.258 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.231 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.250 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.161 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.146 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.185 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.259 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.205 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.224 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.192 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.123 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.070 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.223 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.164 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.172 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.224 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.227 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.278 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.125 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.196 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.261 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.064 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.131 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.282 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.121 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.134 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.133 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.118 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.169 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.179 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.203 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.264 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.170 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.193 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.107 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.056 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.233 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.132 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.176 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.124 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.119 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.127 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.146 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.182 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.186 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.173 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.189 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.269 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.289 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.212 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.117 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.190 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.140 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.260 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.110 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.069 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.140 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.006 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.131 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=-0.009 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.186 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.142 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.172 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.170 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.206 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.139 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.184 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.231 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.113 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.204 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.141 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.140 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.170 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.230 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.281 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.183 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.197 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.189 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.242 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.198 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.165 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.227 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.197 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.347 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.182 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.165 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.201 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.193 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.216 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.132 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.235 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.244 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.126 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.175 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.187 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.240 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.262 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.233 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.171 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.155 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.221 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.226 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.247 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.186 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.174 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.195 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.180 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.197 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.203 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.248 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.233 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.160 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.185 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.262 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.151 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.219 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.137 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.159 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.234 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.274 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.258 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.269 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.204 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.057 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.139 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.155 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.099 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.141 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.077 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.086 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.073 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.323 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.124 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.216 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.115 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.222 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.228 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.116 total time=   0.0s

[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.196 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.173 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.251 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.142 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.203 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.174 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.131 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.144 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.159 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.136 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.179 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.136 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.298 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.245 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.199 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.161 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.269 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.152 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.178 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.221 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.194 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.257 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.170 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.177 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.271 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.203 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.162 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.261 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.172 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.303 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.127 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.118 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.228 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.251 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.116 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.180 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.201 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.199 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.295 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.136 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.211 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.222 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.127 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.219 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.150 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.173 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.202 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.137 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.240 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.185 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.184 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.174 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.223 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.259 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.241 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.219 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.196 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.159 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.223 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.256 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.257 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.169 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.163 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.199 total time=   0.0s

[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.206 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.158 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.202 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.152 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.161 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.201 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.120 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.121 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.023 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.061 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.212 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.066 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.112 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.189 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.221 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.219 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.316 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.143 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.134 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.159 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.275 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.213 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.153 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.168 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.162 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.166 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.192 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.350 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.091 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.296 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.252 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.236 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.300 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.174 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.323 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.167 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.180 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.235 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.291 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.179 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.136 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.345 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.297 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.347 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.245 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.355 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.311 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.351 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.238 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.146 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.177 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.301 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.224 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.185 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.216 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.187 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.177 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.277 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.260 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.243 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.273 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.296 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.047 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.119 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.060 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.146 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.125 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.265 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.184 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.124 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.152 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.177 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.231 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.133 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.131 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.161 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.151 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.130 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.150 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.184 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.215 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.196 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.148 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.167 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.188 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.187 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.171 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.142 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.205 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.203 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.259 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.200 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.192 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.194 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.226 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.214 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.258 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.173 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.211 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.264 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.222 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.200 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.124 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.238 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.225 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.219 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.277 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.337 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.169 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.204 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.355 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.272 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.261 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.279 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.219 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.268 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.364 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.308 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.311 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.177 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.310 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.371 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.372 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.317 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.080 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.091 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.078 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.128 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.090 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.035 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.065 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.280 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.235 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.201 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.193 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.151 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.209 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.194 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.212 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.193 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.151 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.163 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.295 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.160 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.165 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.157 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.239 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.145 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.243 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.167 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.224 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.209 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.198 total time=   0.0s

[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.267 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.188 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.271 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.230 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.233 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.216 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.089 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.217 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.279 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.321 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.349 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.236 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.341 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.215 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.319 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.281 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.326 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.304 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.329 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.349 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.255 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.257 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.300 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.419 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.305 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.435 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.268 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.179 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.302 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.190 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.240 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.055 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.041 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.204 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.052 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.178 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.242 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.174 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.166 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.187 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.173 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.168 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.155 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.152 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.228 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.181 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.192 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.204 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.203 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.172 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.243 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.372 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.313 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.255 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.323 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.275 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.259 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.284 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.281 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.301 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.324 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.199 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.450 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.270 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.269 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.176 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.247 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.300 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.230 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.252 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.285 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.468 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.259 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.222 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.325 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.227 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.322 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.277 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.223 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.267 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.314 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.376 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.336 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.241 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.247 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.249 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.323 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.298 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.344 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.294 total time=   0.0s

[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.315 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.154 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.400 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.118 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.101 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.210 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.210 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.153 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.203 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.254 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.303 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.204 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.234 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.280 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.286 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.295 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.213 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.105 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.177 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.117 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.189 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.285 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.340 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.288 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.233 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.186 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.296 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.285 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.239 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.313 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.266 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.307 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.108 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.134 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.227 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.194 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.129 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.240 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.280 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.147 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.172 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.140 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.152 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.220 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.260 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.217 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.213 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.242 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.277 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.464 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.244 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.298 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.343 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.255 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.295 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.334 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.129 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.156 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.334 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.165 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.199 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.256 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.228 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.281 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.330 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.265 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.304 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.319 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.216 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.265 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.278 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.284 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.351 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.259 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.279 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.295 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.304 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.347 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.250 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.295 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.119 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.149 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.273 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.136 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.161 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.271 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.169 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.285 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.152 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.163 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.189 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.246 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.371 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.223 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.129 total time=   0.0s

[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.162 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.276 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.468 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.232 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.222 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.203 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.325 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.294 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.338 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.267 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.241 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.337 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.267 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.245 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.229 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.350 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.252 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.324 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.239 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.276 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.309 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.406 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.270 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.279 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.369 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.269 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.247 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.218 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.370 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.321 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.149 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.337 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.202 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.349 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.300 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.253 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.299 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.278 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.305 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.300 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.311 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.303 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.341 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.296 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.267 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.350 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.303 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.236 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.349 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.281 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.295 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.213 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.303 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.140 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.185 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.166 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.232 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.336 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.215 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.323 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.274 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.225 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.224 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.295 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.210 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.239 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.265 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.257 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.310 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.322 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.301 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.335 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.303 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.243 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.398 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.409 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.210 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.271 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.357 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.233 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.279 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.236 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.267 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.345 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.364 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.114 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.199 total time=   0.0s

[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.177 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.133 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.140 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.255 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.202 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.300 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.425 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.180 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.369 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.327 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.356 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.282 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.222 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.313 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.257 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.351 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.216 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.217 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.254 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.220 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.327 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.265 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.300 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.277 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.250 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.213 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.319 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.273 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.196 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.308 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.236 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.309 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.228 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.265 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.271 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.366 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.299 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.249 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.295 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.407 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.222 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.400 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.218 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.294 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.350 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.195 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.283 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.221 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.291 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.219 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.270 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.219 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.354 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.234 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.316 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.224 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.260 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.404 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.237 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.250 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.187 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.189 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.117 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.200 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.142 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.196 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.205 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.249 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.292 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.242 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.324 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.282 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.229 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.240 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.192 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.184 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.135 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.162 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.200 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.245 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.220 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.100 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.185 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.167 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.230 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.297 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.316 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.256 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.241 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.240 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.261 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.101 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.152 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.231 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.255 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.300 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.183 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.266 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.253 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.349 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.284 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.272 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.356 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.195 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.147 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.189 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.111 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.268 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.299 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.415 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.196 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.273 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.284 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.327 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.311 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.339 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.218 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.185 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.123 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.214 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.223 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.193 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.221 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.279 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.400 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.258 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.214 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.213 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.185 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.280 total time=   0.0s

[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.408 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.209 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.311 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.049 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.268 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.272 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.220 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.152 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.279 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.227 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.173 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.222 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.282 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.261 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.078 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.205 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.278 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.134 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.211 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.269 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.218 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.273 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.215 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.229 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.267 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.281 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.192 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.281 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.325 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.119 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.111 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.215 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.175 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.201 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.235 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.213 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.321 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.276 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.188 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.281 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.147 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.104 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.171 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.248 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.129 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.106 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.144 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.210 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.389 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.260 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.376 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.226 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.232 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.174 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.198 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.318 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.274 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.372 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.322 total time=   0.0s

[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.219 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.267 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.236 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.373 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.211 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.290 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.325 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.349 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.249 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.274 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.268 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.282 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.219 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.294 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.261 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.211 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.324 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.101 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.231 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.205 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.306 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.214 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.194 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.218 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.235 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.255 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.264 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.198 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.260 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.321 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.257 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.264 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.277 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.275 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.258 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.252 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.284 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.367 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.211 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.223 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.297 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.165 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.171 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.227 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.176 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.174 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.310 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.233 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.281 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.227 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.317 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.215 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.195 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.319 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.264 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.296 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.304 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.319 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.307 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.267 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.232 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.295 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.291 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.221 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.264 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.305 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.363 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.261 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.283 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.351 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.305 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.322 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.179 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.204 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.273 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.178 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.197 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.284 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.268 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.212 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.210 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.227 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.361 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.219 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.262 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.279 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.298 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.229 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.189 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.267 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.314 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.189 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.231 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.202 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.311 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.328 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.254 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.247 total time=   0.0s

[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.139 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.260 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.234 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.327 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.236 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.339 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.301 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.269 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.284 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.239 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.262 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.161 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.225 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.257 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.313 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.199 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.154 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.283 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.330 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.202 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.213 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.328 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.213 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.252 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.322 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.213 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.299 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.352 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.255 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.206 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.305 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.254 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.261 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.289 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.378 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.225 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.289 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.232 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.299 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.295 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.278 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.242 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.289 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.285 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.259 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.237 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.224 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.341 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.250 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.288 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.315 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.150 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.255 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.216 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.181 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.195 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.262 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.247 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.171 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.171 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.370 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.082 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.195 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.218 total time=   0.0s

[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.251 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.103 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.137 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.252 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.227 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.311 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.272 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.363 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.265 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.147 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.202 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.138 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.209 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.162 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.139 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.259 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.256 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.220 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.145 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.263 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.267 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.282 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.354 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.255 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.308 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.092 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.145 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.160 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.355 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.154 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.217 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.210 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.121 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.118 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.116 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.241 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.203 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.209 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.329 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.269 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.203 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.309 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.236 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.270 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.294 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.232 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.265 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.306 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.316 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.245 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.305 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.304 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.290 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.300 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.272 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.345 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.125 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.199 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.157 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.269 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.329 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.210 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.196 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.177 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.245 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.338 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.317 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.197 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.324 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.197 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.235 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.345 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.234 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.277 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.239 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.294 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.244 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.265 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.276 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.274 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.326 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.260 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.183 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.317 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.250 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.258 total time=   0.0s

[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.156 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.154 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.268 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.138 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.071 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.100 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.172 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.206 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.377 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.406 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.398 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.204 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.380 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.470 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.366 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.313 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.192 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.284 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.196 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.168 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.161 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.195 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.222 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.215 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.292 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.290 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.138 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.293 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.239 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.348 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.334 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.325 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.299 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.379 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.365 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.449 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.336 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.333 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.403 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.322 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.393 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.348 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.357 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.341 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.417 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.351 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.394 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.332 total time=   0.0s

[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.315 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.244 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.234 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.251 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.361 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.334 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.360 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.382 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.323 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.319 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.298 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.309 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.404 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.342 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.229 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.310 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.374 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.397 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.411 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.420 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.242 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.191 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.133 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.238 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.208 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.219 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.193 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.207 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.269 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.370 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.340 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.325 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.219 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.232 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.149 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.352 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.134 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.202 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.211 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.318 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.320 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.128 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.277 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.400 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.194 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.261 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.242 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.200 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.165 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.157 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.204 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.125 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.283 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.427 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.256 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.364 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.332 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.385 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.186 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.334 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.260 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.358 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.214 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.251 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.312 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.278 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.135 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.226 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.227 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.303 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.314 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.310 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.343 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.369 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.319 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.240 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.296 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.305 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.232 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.280 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.290 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.246 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.149 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.229 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.220 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.144 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.214 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.315 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.180 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.346 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.277 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.376 total time=   0.0s

[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.307 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.278 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.488 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.411 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.383 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.435 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.319 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.286 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.381 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.178 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.347 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.419 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.328 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.369 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.460 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.360 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.389 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.373 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.377 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.244 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.371 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.300 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.328 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.351 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.303 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.348 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.374 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.255 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.354 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.297 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.282 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.348 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.319 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.406 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.295 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.346 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.110 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.233 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.256 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.295 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.227 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.241 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.277 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.255 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.363 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.333 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.287 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.317 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.275 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.248 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.304 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.222 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.285 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.268 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.113 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.245 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.261 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.426 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.257 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.259 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.250 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.149 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.184 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.264 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.175 total time=   0.0s

[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.155 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.290 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.351 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.316 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.230 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.324 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.376 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.305 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.308 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.382 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.308 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.317 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.384 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.331 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.337 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.358 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.283 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.150 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.217 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.419 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.327 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.323 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.370 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.304 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.247 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.300 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.341 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.376 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.304 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.312 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.267 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.349 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.335 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.434 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.283 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.391 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.282 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.293 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.288 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.349 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.221 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.264 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.364 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.324 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.178 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.257 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.274 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.375 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.276 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.272 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.217 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.174 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.216 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.311 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.278 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.250 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.296 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.333 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.296 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.358 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.391 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.180 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.216 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.293 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.254 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.276 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.372 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.246 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.413 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.269 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.365 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.250 total time=   0.0s

[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.345 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.427 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.330 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.279 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.306 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.379 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.301 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.440 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.410 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.446 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.298 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.218 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.274 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.251 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.374 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.253 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.321 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.346 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.406 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.299 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.306 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.392 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.319 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.321 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.303 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.421 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.319 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.317 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.348 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.348 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.392 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.299 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.354 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.321 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.302 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.292 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.291 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.272 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.230 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.362 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.172 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.319 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.425 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.336 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.290 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.179 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.094 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.249 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.193 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.158 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.169 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.429 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.069 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.124 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.282 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.269 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.242 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.289 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.140 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.267 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.243 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.189 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.213 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.208 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.182 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.335 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.149 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.251 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.196 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.383 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.291 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.322 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.254 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.056 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.132 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.241 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.439 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.134 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.235 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.235 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.109 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.231 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.216 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.257 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.276 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.402 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.253 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.349 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.223 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.106 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.305 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.344 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.203 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.251 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.264 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.187 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.213 total time=   0.0s

[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.349 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.391 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.424 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.246 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.299 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.267 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.232 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.293 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.257 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.218 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.350 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.346 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.235 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.325 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.424 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.277 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.376 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.210 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.157 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.292 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.324 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.122 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.072 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.208 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.242 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.293 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.140 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.231 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.254 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.255 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.219 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.266 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.291 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.328 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.160 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.150 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.135 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.182 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.160 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.294 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.233 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.298 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.310 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.369 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.235 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.257 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.453 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.327 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.218 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.274 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.291 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.336 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.256 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.271 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.168 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.307 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.221 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.246 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.327 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.192 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.201 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.325 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.322 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.369 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.228 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.328 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.347 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.336 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.259 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.320 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.249 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.289 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.247 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.279 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.078 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.266 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.220 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.312 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.143 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.227 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.214 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.310 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.250 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.329 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.140 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.309 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.348 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.343 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.216 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.161 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.213 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.225 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.228 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.324 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.383 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.275 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.328 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.263 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.269 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.327 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.342 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.298 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.255 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.290 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.353 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.272 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.329 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.395 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.119 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.187 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.305 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.284 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.364 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.225 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.321 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.267 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.415 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.297 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.244 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.231 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.329 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.236 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.349 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.323 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.299 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.373 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.269 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.247 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.248 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.387 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.229 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.316 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.212 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.322 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.400 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.292 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.260 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.293 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.272 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.334 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.141 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.224 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.418 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.277 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.264 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.182 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.234 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.339 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.234 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.192 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.220 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.144 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.228 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.113 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.110 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.334 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.235 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.316 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.238 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.211 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.288 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.343 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.336 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.336 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.289 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.342 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.243 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.251 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.294 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.228 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.306 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.394 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.277 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.308 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.237 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.307 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.311 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.306 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.277 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.284 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.230 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.356 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.225 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.215 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.303 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.339 total time=   0.0s

[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.208 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.199 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.146 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.191 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.317 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.205 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.249 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.231 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.320 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.195 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.431 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.294 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.283 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.300 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.327 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.247 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.159 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.207 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.294 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.375 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.369 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.325 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.381 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.183 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.256 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.268 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.218 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.215 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.200 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.284 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.484 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.344 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.402 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.290 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.329 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.302 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.225 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.335 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.311 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.275 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.309 total time=   0.0s

[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.266 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.106 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.176 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.198 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.346 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.245 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.167 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.189 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.154 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.241 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.203 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.269 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.271 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.308 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.211 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.267 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.311 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.281 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.295 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.303 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.271 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.308 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.376 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.424 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.400 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.327 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.441 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.327 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.432 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.456 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.478 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.369 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.445 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.216 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.276 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.350 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.444 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.330 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.231 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.370 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.290 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.453 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.200 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.229 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.293 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.344 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.349 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.259 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.179 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.224 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.221 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.384 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.244 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.260 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.239 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.258 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.237 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.319 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.382 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.293 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.314 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.339 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.319 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.285 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.406 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.398 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.340 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.334 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.355 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.335 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.457 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.508 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.330 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.340 total time=   0.0s

[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.326 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.220 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.319 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.267 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.459 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.272 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.382 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.404 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.341 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.371 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.308 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.326 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.386 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.427 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.492 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.341 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.350 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.246 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.304 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.180 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.305 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.334 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.309 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.374 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.303 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.311 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.469 total time=   0.0s

[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.338 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.319 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.448 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.377 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.363 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.381 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.391 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.524 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.315 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.272 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.317 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.377 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.303 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.267 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.356 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.394 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.325 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.421 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.346 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.259 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.372 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.167 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.229 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.421 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.159 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.363 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.364 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.340 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.357 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.441 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.233 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.208 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.378 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.180 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.215 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.280 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.183 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.341 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.170 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.268 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.302 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.282 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.269 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.148 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.209 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.307 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.228 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.379 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.175 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.385 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.347 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.373 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.265 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.261 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.321 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.170 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.125 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.250 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.367 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.212 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.173 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.344 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.366 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.311 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.270 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.373 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.321 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.265 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.143 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.205 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.191 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.317 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.319 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.453 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.322 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.312 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.322 total time=   0.0s

[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.298 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.229 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.298 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.216 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.334 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.294 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.362 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.338 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.344 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.329 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.421 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.434 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.504 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.365 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.343 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.374 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.250 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.350 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.457 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.387 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.300 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.399 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.342 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.339 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.362 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.312 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.341 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.373 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.312 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.328 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.383 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.406 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.453 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.443 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.276 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.256 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.413 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.427 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.361 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.282 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.407 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.415 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.235 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.155 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.364 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.495 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.333 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.361 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.270 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.457 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.250 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.386 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.345 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.396 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.261 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.221 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.273 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.362 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.333 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.331 total time=   0.0s

[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.361 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.338 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.346 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.280 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.288 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.298 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.254 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.282 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.263 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.362 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.406 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.282 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.225 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.317 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.367 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.331 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.353 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.305 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.280 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.434 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.345 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.307 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.329 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.422 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.387 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.149 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.307 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.251 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.264 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.202 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.326 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.232 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.321 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.390 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.333 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.341 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.390 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.252 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.379 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.358 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.268 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.394 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.206 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.131 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.363 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.208 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.203 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.248 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.141 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.283 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.273 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.177 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.321 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.172 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.315 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.290 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.382 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.236 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.325 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.264 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.243 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.384 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.265 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.314 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.304 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.270 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.283 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.158 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.111 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.264 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.342 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.327 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.381 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.289 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.269 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.382 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.200 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.410 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.224 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.142 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.309 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.279 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.185 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.305 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.237 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.343 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.296 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.367 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.273 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.182 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.383 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.191 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.307 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.267 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.145 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.287 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.162 total time=   0.0s

[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.304 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.345 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.403 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.273 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.220 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.347 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.220 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.324 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.261 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.246 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.261 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.309 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.467 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.248 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.313 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.393 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.330 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.339 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.351 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.346 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.439 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.269 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.367 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.296 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.312 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.333 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.277 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.357 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.372 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.268 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.289 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.320 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.243 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.352 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.293 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.363 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.253 total time=   0.0s

[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.372 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.393 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.281 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.354 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.392 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.423 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.347 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.343 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.324 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.380 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.265 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.249 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.324 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.216 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.240 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.447 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.306 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.332 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.355 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.257 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.342 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.280 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.298 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.357 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.377 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.349 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.324 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.247 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.235 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.309 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.321 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.261 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.352 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.371 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.325 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.299 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.228 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.381 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.254 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.353 total time=   0.0s

[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.338 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.285 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.201 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.200 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.197 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.276 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.255 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.282 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.334 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.257 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.159 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.287 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.148 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.164 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.274 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.188 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.234 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.167 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.281 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.309 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.389 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.123 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.328 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.371 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.236 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.303 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.141 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.333 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.325 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.276 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.304 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.367 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.339 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.183 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.225 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.142 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.221 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.295 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.261 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.321 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.276 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.294 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.398 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.328 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.344 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.265 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.335 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.259 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.274 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.304 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.378 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.420 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.269 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.404 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.288 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.280 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.258 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.305 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.262 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.288 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.326 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.255 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.426 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.363 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.179 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.330 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.329 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.418 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.283 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.311 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.237 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.331 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.248 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.356 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.316 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.324 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.257 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.338 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.175 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.250 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.314 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.341 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.190 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.236 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.336 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.317 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.286 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.403 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.124 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.223 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.227 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.388 total time=   0.0s

[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.285 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.294 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.334 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.205 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.314 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.193 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.264 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.190 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.086 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.202 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.300 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.365 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.209 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.275 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.337 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.291 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.154 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.174 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.279 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.115 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.240 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.265 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.325 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.357 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.378 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.259 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.307 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.340 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.294 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.454 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.212 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.308 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.318 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.223 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.173 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.370 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.271 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.322 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.414 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.396 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.299 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.273 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.231 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.369 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.254 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.303 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.434 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.324 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.295 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.304 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.398 total time=   0.0s

[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.262 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.341 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.093 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.286 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.288 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.290 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.325 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.503 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.365 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.357 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.371 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.341 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.473 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.455 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.361 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.364 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.406 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.259 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.411 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.513 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.401 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.293 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.257 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.267 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.467 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.330 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.432 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.441 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.525 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.330 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.498 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.436 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.347 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.357 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.244 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.344 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.266 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.336 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.282 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.402 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.269 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.334 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.328 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.317 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.372 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.268 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.507 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.206 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.429 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.178 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.376 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.317 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.245 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.233 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.448 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.328 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.278 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.307 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.376 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.247 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.346 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.306 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.291 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.299 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.238 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.388 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.499 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.297 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.348 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.392 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.298 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.427 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.289 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.302 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.495 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.315 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.359 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.307 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.411 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.370 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.455 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.353 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.413 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.440 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.302 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.382 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.303 total time=   0.0s

[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.262 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.309 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.394 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.296 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.366 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.271 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.484 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.255 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.310 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.406 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.301 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.429 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.346 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.459 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.329 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.307 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.334 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.358 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.362 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.414 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.489 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.330 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.370 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.308 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.326 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.249 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.198 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.138 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.351 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.278 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.317 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.310 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.358 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.227 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.282 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.417 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.413 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.344 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.370 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.288 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.414 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.508 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.368 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.312 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.265 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.297 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.436 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.453 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.318 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.286 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.290 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.337 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.309 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.434 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.214 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.313 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.188 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.302 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.240 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.297 total time=   0.0s[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.354 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.346 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.400 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.313 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.318 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.306 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.458 total time=   0.0s

[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.372 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.410 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.504 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.347 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.353 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.378 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.330 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.278 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.443 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.340 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.355 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.376 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.181 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.296 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.402 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.274 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.307 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.416 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.284 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.334 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.340 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.324 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.379 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.262 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.391 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.357 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.410 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.432 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.491 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.345 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.348 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.346 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.327 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.433 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.292 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.381 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.277 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.254 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.299 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.360 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.366 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.355 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.245 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.139 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.410 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.182 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.244 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.421 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.334 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.395 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.504 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.272 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.430 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.251 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.430 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.359 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.357 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.454 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.275 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.292 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.211 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.304 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.281 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.273 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.411 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.289 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.220 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.287 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.293 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.409 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.444 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.374 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.365 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.427 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.299 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.389 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.414 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.341 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.374 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.411 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.304 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.357 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.387 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.254 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.226 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.306 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.334 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.321 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.372 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.220 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.305 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.341 total time=   0.1s

[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.194 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.362 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.390 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.356 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.425 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.202 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.279 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.162 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.230 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.295 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.247 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.286 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.313 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.414 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.289 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.183 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.383 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.292 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.268 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.175 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.371 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.372 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.350 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.395 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.286 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.254 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.343 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.178 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.230 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.337 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.280 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.299 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.216 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.298 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.233 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.335 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.352 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.234 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.306 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.227 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.324 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.366 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.255 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.281 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.266 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.116 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.234 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.374 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.324 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.409 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.278 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.387 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.343 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.260 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.350 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.269 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.383 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.256 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.242 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.387 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.224 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.328 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.170 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.167 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.261 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.364 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.285 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.200 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.315 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.448 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.324 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.372 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.258 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.367 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.323 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.261 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.393 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.323 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.255 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.347 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.305 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.475 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.333 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.227 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.259 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.303 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.329 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.290 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.417 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.219 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.435 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.366 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.352 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.447 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.323 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.328 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.279 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.209 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.177 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.198 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.380 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.255 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.447 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.259 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.311 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.250 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.325 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.352 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.444 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.296 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.328 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.357 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.209 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.378 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.281 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.378 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.299 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.318 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.262 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.273 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.381 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.363 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.285 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.362 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.352 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.467 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.328 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.321 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.422 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.144 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.258 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.228 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.351 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.357 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.282 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.391 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.273 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.330 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.337 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.136 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.183 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.194 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.294 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.237 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.442 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.308 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.230 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.156 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.411 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.197 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.259 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.366 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.212 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.250 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.309 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.344 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.323 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.379 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.228 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.401 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.171 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.276 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.345 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.135 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.310 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.191 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.299 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.420 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.285 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.277 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.337 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.308 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.310 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.281 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.334 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.459 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.321 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.313 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.372 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.321 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.394 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.289 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.296 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.369 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.235 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.355 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.426 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.266 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.351 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.354 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.223 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.320 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.261 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.318 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.232 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.383 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.227 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.262 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.335 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.328 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.297 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.310 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.248 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.370 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.260 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.336 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.454 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.360 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.376 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.338 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.334 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.313 total time=   0.1s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.252 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.382 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.197 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.216 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.364 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.263 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.367 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.239 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.350 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.274 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.324 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.303 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.410 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.272 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.387 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.219 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.201 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.229 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.123 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.342 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.333 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.450 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.281 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.308 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.385 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.247 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.373 total time=   0.1s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.346 total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.272 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.249 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.286 total time=   0.1s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.316 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.405 total time=   0.1s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.233 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.297 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.294 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.400 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.276 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.313 total time=   0.0s

[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.287 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.267 total time=   0.0s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.244 total time=   0.0s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.329 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.356 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.435 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.296 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.352 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.301 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.273 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.258 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.384 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.263 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.351 total time=   0.0s
[CV 3/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.338 total time=   0.1s
[CV 4/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.272 total time=   0.1s
[CV 6/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.298 total time=   0.1s
[CV 7/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.429 total time=   0.1s
[CV 9/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.230 total time=   0.1s
[CV 10/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.287 total time=   0.1s
[CV 2/10] END max_depth=4, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.307 total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.284 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.372 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.339 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.342 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.413 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.243 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.296 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.351 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.306 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.440 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.439 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.321 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.374 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.374 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.496 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.374 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.456 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.456 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.443 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.379 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.300 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.465 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.365 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.240 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.363 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.296 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.393 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.337 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.464 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.406 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.350 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.243 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.260 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.240 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.307 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.302 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.244 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.277 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.443 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.211 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.195 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.183 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.180 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.222 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.376 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.082 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.443 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.369 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.222 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.268 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.224 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.410 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.371 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.144 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.178 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.334 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.406 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.355 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.141 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.285 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.260 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.216 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.288 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.192 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.301 total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=4, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.356 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.379 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.462 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.461 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.447 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.440 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.312 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.299 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.328 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.333 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.285 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.430 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.354 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.335 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.396 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.420 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.339 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.431 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.298 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.216 total time=   0.0s

[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.455 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.255 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.424 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.374 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.374 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.367 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.442 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.438 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.292 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.357 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.320 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.443 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.231 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.331 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.421 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.389 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.153 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.305 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.114 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.194 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.267 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.457 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.341 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.426 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.210 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.037 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.173 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.160 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.187 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.172 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.182 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.221 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.329 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.367 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.285 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.294 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.402 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.427 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.172 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.254 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.316 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.158 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.159 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.261 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.084 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.360 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.392 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.200 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.144 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.326 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.321 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.200 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.197 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.209 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.299 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.237 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.127 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.270 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.232 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.278 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.269 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.158 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.334 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.177 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.246 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.303 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.273 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.082 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.211 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.181 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.314 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.118 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.084 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.325 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.215 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.196 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.228 total time=   0.0s

[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.312 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.245 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.333 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.444 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.303 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.386 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.350 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.410 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.346 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.359 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.303 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.368 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.279 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.377 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.314 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.423 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.258 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.381 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.209 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.160 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.297 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.266 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.399 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.280 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.201 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.345 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.383 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.304 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.260 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.381 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.355 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.312 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.300 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.333 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.342 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.299 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.392 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.306 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.299 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.264 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.328 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.352 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.335 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.303 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.386 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.454 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.412 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.460 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.370 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.274 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.300 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.319 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.239 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.250 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.269 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.234 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.369 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.240 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.233 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.402 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.302 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.293 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.333 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.294 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.367 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.337 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.287 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.372 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.290 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.352 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.234 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.335 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.330 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.319 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.248 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.273 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.293 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.281 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.214 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.369 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.338 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.276 total time=   0.0s

[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.290 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.306 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.321 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.262 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.400 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.324 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.282 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.368 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.347 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.299 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.345 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.328 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.291 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.392 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.435 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.333 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.054 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.057 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.254 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.284 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.296 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.338 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.384 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.213 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.333 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.283 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.388 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.320 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.267 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.115 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.387 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.248 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.260 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.030 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.174 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.215 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.341 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.395 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.355 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.328 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.122 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.148 total time=   0.0s

[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.232 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.378 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.174 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.102 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.252 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.209 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.292 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.263 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.181 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.189 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.264 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.157 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.153 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.181 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.219 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.134 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.331 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.339 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.266 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.340 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.298 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.290 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.310 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.192 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.270 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.122 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.264 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.249 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.210 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.245 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.227 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.298 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.357 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.371 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.294 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.041 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.280 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.259 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.311 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.147 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.356 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.354 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.257 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.327 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.435 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.265 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.264 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.098 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.104 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.212 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.203 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.298 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.256 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.188 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.297 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.355 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.248 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.249 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.256 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.186 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.182 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.068 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.260 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.307 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.155 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.243 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.239 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.189 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.217 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.227 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.212 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.183 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.088 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.129 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.251 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.174 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.285 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.337 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.296 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.351 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.231 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.368 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.366 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.096 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.139 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.214 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.198 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.149 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.186 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.283 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.314 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.373 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.351 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.341 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.214 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.310 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.332 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.225 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.327 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.330 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.323 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.359 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.246 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.175 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.394 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.324 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.363 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.443 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.290 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.375 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.410 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.307 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.348 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.354 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.311 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.234 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.346 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.289 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.362 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.183 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.267 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.198 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.276 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.241 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.250 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.298 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.260 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.344 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.284 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.296 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.378 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.337 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.348 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.349 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.242 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.261 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.207 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.329 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.389 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.390 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.377 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.307 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.382 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.285 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.335 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.238 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.212 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.290 total time=   0.0s

[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.366 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.268 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.367 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.279 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.351 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.308 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.355 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.302 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.366 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.292 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.265 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.360 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.327 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.262 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.310 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.337 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.434 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.205 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.339 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.107 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.152 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.165 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.337 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.331 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.225 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.229 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.281 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.318 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.246 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.265 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.287 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.165 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.144 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.144 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.180 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.390 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.234 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.342 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.105 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.081 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.335 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.229 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.188 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.134 total time=   0.0s

[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.236 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.283 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.033 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.200 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.189 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.266 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.292 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.337 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.345 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.187 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.159 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.284 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.268 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.116 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.168 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.240 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.117 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.028 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.098 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.235 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.264 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.281 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.294 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.306 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.305 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.330 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.190 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.211 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.226 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.405 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.382 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.460 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.330 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.264 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.274 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.260 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.312 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.167 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.204 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.212 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.323 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.319 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.333 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.262 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.303 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.357 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.283 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.268 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.326 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.259 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.308 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.264 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.284 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.367 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.244 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.281 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.300 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.313 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.306 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.409 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.352 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.323 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.292 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.197 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.491 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.407 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.528 total time=   0.0s

[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.245 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.376 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.258 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.377 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.236 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.295 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.348 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.262 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.237 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.124 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.291 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.242 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.339 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.202 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.338 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.313 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.259 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.282 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.266 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.367 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.276 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.209 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.315 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.226 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.305 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.337 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.262 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.322 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.303 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.243 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.284 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.243 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.189 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.358 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.351 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.379 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.244 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.319 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.318 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.307 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.358 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.261 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.388 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.307 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.329 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.277 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.221 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.153 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.202 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.357 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.245 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.219 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.310 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.293 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.204 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.324 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.364 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.445 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.205 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.340 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.429 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.185 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.334 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.440 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.423 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.342 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.509 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.394 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.500 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.290 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.523 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.223 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.413 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.286 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.469 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.280 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.247 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.307 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.239 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.523 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.473 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.299 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.240 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.371 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.522 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.476 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.431 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.655 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.266 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.447 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.445 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.397 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.419 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.449 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.368 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.381 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.504 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.418 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.508 total time=   0.0s

[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.515 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.445 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.398 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.424 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.447 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.420 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.505 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.480 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.474 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.433 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.561 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.290 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.311 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.181 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.226 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.415 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.388 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.512 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.388 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.327 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.448 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.446 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.252 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.295 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.303 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.358 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.360 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.240 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.460 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.458 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.587 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.222 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.236 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.343 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.341 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.245 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.173 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.426 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.319 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.307 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.380 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.192 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.372 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.393 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.563 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.468 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.441 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.516 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.461 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.454 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.474 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.353 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.305 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.333 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.223 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.423 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.416 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.461 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.163 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.267 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.271 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.452 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.439 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.493 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.493 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.481 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.355 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.266 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.367 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.371 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.494 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.357 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.343 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.470 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.281 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.234 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.370 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.253 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.223 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.218 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.406 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.428 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.243 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.193 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.293 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.378 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.246 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.329 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.319 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.222 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.487 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.509 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.511 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.426 total time=   0.0s

[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.511 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.465 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.334 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.487 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.404 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.491 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.452 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.351 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.255 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.296 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.272 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.384 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.374 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.315 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.305 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.379 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.317 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.329 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.340 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.476 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.388 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.308 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.355 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.372 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.410 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.413 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.378 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.433 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.387 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.400 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.447 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.423 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.293 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.364 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.411 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.431 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.325 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.421 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.432 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.173 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.315 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.346 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.381 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.440 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.266 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.393 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.248 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.384 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.362 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.450 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.350 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.346 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.319 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.425 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.365 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.360 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.443 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.415 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.176 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.269 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.208 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.409 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.315 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.387 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.366 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.410 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.484 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.382 total time=   0.0s

[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.517 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.235 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.359 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.320 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.407 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.402 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.308 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.142 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.343 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.348 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.277 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.399 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.230 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.201 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.296 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.330 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.420 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.382 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.262 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.368 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.409 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.317 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.425 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.345 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.277 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.328 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.418 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.364 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.368 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.355 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.432 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.470 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.386 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.309 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.276 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.383 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.255 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.365 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.175 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.157 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.291 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.364 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.330 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.426 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.496 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.312 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.420 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.518 total time=   0.0s

[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.250 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.481 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.387 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.296 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.316 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.330 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.256 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.290 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.256 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.348 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.423 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.451 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.339 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.355 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.365 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.329 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.312 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.345 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.416 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.419 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.507 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.281 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.477 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.594 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.622 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.543 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.274 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.312 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.486 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.518 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.534 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.430 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.566 total time=   0.0s

[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.335 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.625 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.600 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.309 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.383 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.447 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.621 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.541 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.517 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.460 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.564 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.304 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.548 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.505 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.561 total time=   0.0s

[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.641 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.575 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.515 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.445 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.459 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.564 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.544 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.491 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.592 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.388 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.461 total time=   0.0s

[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.321 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.383 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.304 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.364 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.346 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.491 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.336 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.340 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.329 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.453 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.545 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.638 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.515 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.460 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.472 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.549 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.487 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.293 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.383 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.378 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.524 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.485 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.424 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.200 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.194 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.249 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.225 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.488 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.212 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.370 total time=   0.0s

[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.474 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.268 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.515 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.342 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.289 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.392 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.443 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.362 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.464 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.615 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.393 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.475 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.476 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.496 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.377 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.546 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.244 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.403 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.390 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.343 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.448 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.426 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.560 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.440 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.409 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.440 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.502 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.435 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.458 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.425 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.492 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.447 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.434 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.249 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.508 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.505 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.475 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.416 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.235 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.334 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.367 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.431 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.457 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.484 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.346 total time=   0.0s

[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.226 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.268 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.443 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.235 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.379 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.354 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.416 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.183 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.319 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.363 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.261 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.335 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.608 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.461 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.529 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.168 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.353 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.524 total time=   0.1s

[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.457 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.434 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.319 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.409 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.336 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.260 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.422 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.355 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.464 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.407 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.238 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.325 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.288 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.383 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.371 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.330 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.367 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.376 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.613 total time=   0.0s

[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.542 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.420 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.450 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.406 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.394 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.410 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.439 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.363 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.450 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.494 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.227 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.320 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.269 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.167 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.110 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.346 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.518 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.374 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.196 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.294 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.328 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.301 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.552 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.212 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.233 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.342 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.379 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.464 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.359 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.376 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.511 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.389 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.359 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.620 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.559 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.689 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.669 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.521 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.583 total time=   0.0s

[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.412 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.337 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.425 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.432 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.519 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.435 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.257 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.373 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.531 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.453 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.350 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.480 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.590 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.470 total time=   0.0s

[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.582 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.665 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.554 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.626 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.547 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.445 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.550 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.513 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.696 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.546 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.613 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.588 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.450 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.598 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.518 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.540 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.647 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.525 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.622 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.589 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.696 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.640 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.588 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.521 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.550 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.510 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.572 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.509 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.544 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.625 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.598 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.502 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.551 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.548 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.438 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.510 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.535 total time=   0.0s

[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.519 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.540 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.600 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.530 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.583 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.490 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.273 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.388 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.372 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.472 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.503 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.389 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.203 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.466 total time=   0.0s

[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.406 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.327 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.427 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.292 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.405 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.502 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.453 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.509 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.422 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.467 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.417 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.450 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.372 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.461 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.484 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.446 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.405 total time=   0.0s

[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.504 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.444 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.616 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.505 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.492 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.372 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.523 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.504 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.566 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.509 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.469 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.479 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.483 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.290 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.323 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.441 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.349 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.463 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.582 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.460 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.552 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.299 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.371 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.305 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.347 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.316 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.380 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.490 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.503 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.212 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.453 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.317 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.363 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.470 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.572 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.488 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.482 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.497 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.442 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.628 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.481 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.505 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.571 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.443 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.396 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.440 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.425 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.481 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.357 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.509 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.483 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.466 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.404 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.458 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.501 total time=   0.1s

[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.530 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.362 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.263 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.472 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.321 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.208 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.380 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.403 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.448 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.280 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.367 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.434 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.250 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.242 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.345 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.351 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.328 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.289 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.239 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.364 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.398 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.420 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.561 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.459 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.485 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.325 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.540 total time=   0.0s

[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.386 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.400 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.307 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.299 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.243 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.358 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.488 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.387 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.502 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.521 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.514 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.626 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.559 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.681 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.564 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.505 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.441 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.503 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.514 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.454 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.407 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.249 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.352 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.426 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.464 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.570 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.448 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.515 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.468 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.380 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.443 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.334 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.529 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.406 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.417 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.466 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.415 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.471 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.483 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.428 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.470 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.289 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.395 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.381 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.555 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.397 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.491 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.442 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.546 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.415 total time=   0.1s

[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.407 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.431 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.386 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.446 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.578 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.504 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.597 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.624 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.605 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.582 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.655 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.645 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.735 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.558 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.638 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.571 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.582 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.599 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.596 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.570 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.585 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.653 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.552 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.486 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.548 total time=   0.0s

[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.405 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.530 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.593 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.713 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.559 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.528 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.660 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.579 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.594 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.648 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.730 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.517 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.571 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.629 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.612 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.481 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.550 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.627 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.599 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.609 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.698 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.546 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.517 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.619 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.537 total time=   0.0s

[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.655 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.749 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.573 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.632 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.535 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.665 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.438 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.460 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.534 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.570 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.456 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.514 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.496 total time=   0.1s

[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.542 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.570 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.511 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.552 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.655 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.563 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.721 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.549 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.508 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.619 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.651 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.624 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.551 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.533 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.582 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.522 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.470 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.576 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.481 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.538 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.481 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.559 total time=   0.0s

[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.579 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.521 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.547 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.619 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.512 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.597 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.512 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.579 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.505 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.572 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.424 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.427 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.544 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.676 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.478 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.594 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.572 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.403 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.366 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.422 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.382 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.528 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.394 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.569 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.476 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.459 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.382 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.510 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.605 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.404 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.370 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.564 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.499 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.519 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.548 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.475 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.485 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.539 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.559 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.527 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.527 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.519 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.471 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.602 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.423 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.574 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.643 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.491 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.498 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.571 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.457 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.522 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.413 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.460 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.531 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.359 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.417 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.542 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.404 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.413 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.451 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.605 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.688 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.612 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.572 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.587 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.462 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.558 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.653 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.451 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.641 total time=   0.0s

[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.483 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.531 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.428 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.560 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.487 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.484 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.584 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.393 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.459 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.531 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.406 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.468 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.494 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.454 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.374 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.356 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.406 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.439 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.517 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.386 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.421 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.446 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.510 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.446 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.564 total time=   0.0s

[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.485 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.616 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.475 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.472 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.451 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.517 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.515 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.434 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.481 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.484 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.552 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.427 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.435 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.393 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.388 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.465 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.508 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.417 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.461 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.505 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.492 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.435 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.498 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.474 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.510 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.549 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.421 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.470 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.405 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.131 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.430 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.475 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.561 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.507 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.401 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.454 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.523 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.399 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.244 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.381 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.450 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.364 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.167 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.415 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.460 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.460 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.451 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.426 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.194 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.480 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.329 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.433 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.418 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.483 total time=   0.0s

[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.384 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.542 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.496 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.539 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.518 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.495 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.465 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.540 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.459 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.457 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.494 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.388 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.524 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.419 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.408 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.453 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.415 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.495 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.413 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.493 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.464 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.429 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.511 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.415 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.470 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.548 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.551 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.604 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.463 total time=   0.1s

[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.480 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.533 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.492 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.410 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.1s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.477 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.492 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.405 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.490 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.481 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.589 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.330 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.448 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.445 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.459 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.431 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.461 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.401 total time=   0.1s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.538 total time=   0.1s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.490 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.498 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.352 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.487 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.342 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.480 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.361 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.440 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.456 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.455 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.530 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.478 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.580 total time=   0.1s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.406 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.427 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.536 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.418 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.494 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.317 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.283 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.299 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.357 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.427 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.393 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.443 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.448 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.465 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.421 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.429 total time=   0.1s
[CV 4/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.467 total time=   0.1s
[CV 7/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.418 total time=   0.1s
[CV 8/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.546 total time=   0.1s
[CV 9/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.385 total time=   0.1s
[CV 10/10] END max_depth=6, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.480 total time=   0.1s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.504 total time=   0.0s

[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.358 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.566 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.573 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.251 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.558 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.684 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.492 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.325 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.256 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.277 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.465 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.409 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.623 total time=   0.0s

[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.475 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.523 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=6, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.431 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.171 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.605 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.734 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.778 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.647 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.573 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.514 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.592 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.432 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.707 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.459 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.212 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.357 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.346 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.486 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.255 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.331 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.460 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.358 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.295 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.198 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.496 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.231 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.290 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.372 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.391 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.484 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.479 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.318 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.186 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.209 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.222 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.445 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.312 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.277 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.212 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.340 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.215 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.364 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.253 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.305 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.435 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.321 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.185 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.348 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.323 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.584 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.297 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.301 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.382 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.529 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.431 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.452 total time=   0.0s

[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.486 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.388 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.283 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.441 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.446 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.406 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.411 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.374 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.424 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.440 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.213 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.209 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.422 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.384 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.389 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.468 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.431 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.362 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.465 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.368 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.362 total time=   0.0s

[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.414 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.344 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.421 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.303 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.300 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.208 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.289 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.208 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.375 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.155 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.358 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.290 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.319 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.213 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.241 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.391 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.321 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.265 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.203 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.311 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.237 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.218 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.330 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.346 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.381 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.362 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.328 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.330 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.380 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.138 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.292 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.226 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.304 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.296 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.274 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.293 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.323 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.373 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.356 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.314 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.231 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.229 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.274 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.121 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.391 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.375 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.445 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.455 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.459 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.297 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.423 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.360 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.487 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.390 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.400 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.441 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.359 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.381 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.405 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.414 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.200 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.300 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.135 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.328 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.268 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.308 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.332 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.262 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.225 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.224 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.217 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.375 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.443 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.498 total time=   0.0s

[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.368 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.275 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.338 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.340 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.173 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.318 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.325 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.263 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.448 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.326 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.434 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.303 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.358 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.383 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.364 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.394 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.386 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.409 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.416 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.382 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.431 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.516 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.221 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.236 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.287 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.362 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.422 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.183 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.246 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.392 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.318 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.322 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.335 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.290 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.252 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.313 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.255 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.331 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.330 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.374 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.448 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.452 total time=   0.0s

[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.360 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.309 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.253 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.217 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.366 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.092 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.181 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.165 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.331 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.301 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.328 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.293 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.406 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.127 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.224 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.213 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.210 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.376 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.300 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.140 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.334 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.329 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.381 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.204 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.292 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.348 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.162 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.290 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.303 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.258 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.157 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.262 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.203 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.442 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.314 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.359 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.285 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.402 total time=   0.0s

[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.320 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.436 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.366 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.321 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.405 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.410 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.355 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.360 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.264 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.295 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.363 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.281 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.400 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.400 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.403 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.379 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.331 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.323 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.262 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.269 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.367 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.362 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.358 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.345 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.355 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.350 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.216 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.237 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.382 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.099 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.413 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.382 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.309 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.390 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.278 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.332 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.327 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.328 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.383 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.434 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.277 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.280 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.392 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.431 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.338 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.295 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.287 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.320 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.283 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.370 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.364 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.327 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.345 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.277 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.418 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.345 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.388 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.341 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.268 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.378 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.395 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.336 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.281 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.364 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.421 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.439 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.353 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.381 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.279 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.293 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.381 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.343 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.313 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.343 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.379 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.347 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.429 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.390 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.385 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.283 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.155 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.366 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.319 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.302 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.427 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.248 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.281 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.347 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.260 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.299 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.329 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.421 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.340 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.312 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.377 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.372 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.267 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.326 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.401 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.346 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.746 total time=   0.0s

[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.323 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.609 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.453 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.418 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.411 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.353 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.385 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.648 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.735 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.682 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.799 total time=   0.0s

[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.798 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.704 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.661 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.549 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.700 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.648 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.682 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.726 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.666 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.720 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.736 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.705 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.640 total time=   0.0s

[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.617 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.629 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.706 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.550 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.548 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.585 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.343 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.575 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.540 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.743 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.642 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.514 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.411 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.429 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.347 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.261 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.414 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.562 total time=   0.0s

[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.402 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.233 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.360 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.441 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.545 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.672 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.598 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.352 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.609 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.364 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.421 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.343 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.424 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.298 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.327 total time=   0.0s

[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.494 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.465 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.367 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.383 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.190 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.467 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.332 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.359 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.276 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.442 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.518 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.491 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.494 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.564 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.611 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.566 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.570 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.499 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.237 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.298 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.481 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.533 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.264 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.409 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.226 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.362 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.505 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.526 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.533 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.484 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.573 total time=   0.0s

[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.416 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.519 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.283 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.338 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.302 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.344 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.513 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.517 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.516 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.444 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.590 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.541 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.513 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.555 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.328 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.503 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.485 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.431 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.243 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.385 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.283 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.375 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.524 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.386 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.406 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.322 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.268 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.295 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.303 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.370 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.491 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.503 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.514 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.440 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.457 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.521 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.519 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.528 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.399 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.768 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.746 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.740 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.722 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.713 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.794 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.759 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.787 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.782 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.782 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.492 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.548 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.541 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.516 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.470 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.472 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.735 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.677 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.793 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.821 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.677 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.755 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.770 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.786 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.643 total time=   0.0s

[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.793 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.688 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.716 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.778 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.720 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.722 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.715 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.657 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.800 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.800 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.726 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.511 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.723 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.774 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.788 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.803 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.702 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.734 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.773 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.542 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.753 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.714 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.693 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.695 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.688 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.738 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.647 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.742 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.534 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.661 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.672 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.651 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.703 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.415 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.696 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.732 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.642 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.751 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.739 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.648 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.599 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.666 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.704 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.605 total time=   0.0s

[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.694 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.648 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.731 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.708 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.672 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.602 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.627 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.443 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.572 total time=   0.0s

[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.411 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.500 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.350 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.507 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.642 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.615 total time=   0.0s

[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.581 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.396 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.261 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.411 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.514 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.622 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.620 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.596 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.382 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.524 total time=   0.0s

[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.519 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.609 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.624 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.527 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.547 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.556 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.522 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.571 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.505 total time=   0.0s

[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.459 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.393 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.588 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.551 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.0s

[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.342 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.507 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.475 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.484 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.407 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.502 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.398 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.454 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.219 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.436 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.738 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.775 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.604 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.552 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.584 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.382 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.384 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.339 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.363 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.342 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.476 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.658 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.521 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.322 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.404 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.465 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.533 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.543 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.634 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.550 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.341 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.507 total time=   0.0s

[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.476 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.374 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.488 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.575 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.525 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.877 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.768 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.761 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.714 total time=   0.1s

[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.831 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.744 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.851 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.745 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.738 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.806 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.769 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.766 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.773 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.738 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.810 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.716 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.744 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.838 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.633 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.492 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.514 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.742 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.785 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.752 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.778 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.819 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.845 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.799 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.741 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.746 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.779 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.724 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.743 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.828 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.690 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.767 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.758 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.796 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.690 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.736 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.836 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.747 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.750 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.795 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.725 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.818 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.767 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.827 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.713 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.757 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.761 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.702 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.730 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.693 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.697 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.652 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.689 total time=   0.0s

[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.708 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.736 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.682 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.704 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.808 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.750 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.736 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.723 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.687 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.749 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.697 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.677 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.650 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.556 total time=   0.0s

[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.694 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.456 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.656 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.655 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.605 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.624 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.661 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.261 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.600 total time=   0.0s

[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.698 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.756 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.738 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.697 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.710 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.659 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.744 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.653 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.723 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.652 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.622 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.479 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.454 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.672 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.711 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.656 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.713 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.602 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.602 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.362 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.373 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.557 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.587 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.695 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.645 total time=   0.0s

[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.712 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.648 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.696 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.548 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.525 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.688 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.569 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.311 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.581 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.423 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.515 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.550 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.578 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.636 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.569 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.542 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.591 total time=   0.0s

[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.591 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.628 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.692 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.556 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.554 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.613 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.494 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.481 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.550 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.572 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.541 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.598 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.575 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.735 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.615 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.656 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.447 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.362 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.420 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.595 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.480 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.584 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.557 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.543 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.582 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.605 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.588 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.459 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.576 total time=   0.1s

[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.514 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.530 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.552 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.352 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.410 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.494 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.534 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.337 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.585 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.560 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.279 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.473 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.394 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.566 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.399 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.564 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.543 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.513 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.378 total time=   0.0s

[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.489 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.594 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.376 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.487 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.470 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.769 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.753 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.750 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.837 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.689 total time=   0.0s

[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.390 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.424 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.486 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.532 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.537 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.791 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.798 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.786 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.836 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.750 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.788 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.855 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.660 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.672 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.792 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.758 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.739 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.802 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.855 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.778 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.805 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.718 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.826 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.778 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.699 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.727 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.746 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.705 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.735 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.461 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.491 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.507 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.514 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.502 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.783 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.831 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.789 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.809 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.859 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.769 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.793 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.760 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.821 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.756 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.855 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.693 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.736 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.765 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.801 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.727 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.804 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.615 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.462 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.524 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.543 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.829 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.715 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.772 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.718 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.807 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.794 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.867 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.747 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.730 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.721 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.803 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.768 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.805 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.808 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.786 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.728 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.734 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.811 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.738 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.778 total time=   0.1s

[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.737 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.732 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.702 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.764 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.726 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.719 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.735 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.800 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.762 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.838 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.716 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.761 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.761 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.739 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.730 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.774 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.741 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.702 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.718 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.587 total time=   0.0s

[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.711 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.802 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.804 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.715 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.719 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.762 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.737 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.696 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.786 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.641 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.732 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.817 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.660 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.765 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.806 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.677 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.671 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.775 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.793 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.743 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.735 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.685 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.726 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.799 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.686 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.688 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.707 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.765 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.720 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.782 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.733 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.668 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.700 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.678 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.700 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.766 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.698 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.708 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.641 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.648 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.721 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.605 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.785 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.704 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.678 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.759 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.706 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.719 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.730 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.724 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.721 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.750 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.783 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.827 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.738 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.685 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.780 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.683 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.732 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.688 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.600 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.771 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.639 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.612 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.635 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.637 total time=   0.1s

[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.710 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.644 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.753 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.653 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.765 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.691 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.646 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.709 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.797 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.653 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.590 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.723 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.738 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.653 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.683 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.661 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.562 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.633 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.673 total time=   0.0s

[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.639 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.661 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.597 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.597 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.723 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.599 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.683 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.656 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.714 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.542 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.614 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.551 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.556 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.647 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.576 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.502 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.635 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.645 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.710 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.622 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.643 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.543 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.577 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.504 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.586 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.623 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.539 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.570 total time=   0.0s

[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.518 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.591 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.616 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.521 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.567 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.542 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.554 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.615 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.506 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.664 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.624 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.586 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.586 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.551 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.592 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.553 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.578 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.596 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.610 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.593 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.611 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.611 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.648 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.508 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.400 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.521 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.590 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.565 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.686 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.547 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.580 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.612 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.578 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.622 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.397 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.537 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.531 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.507 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.603 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.563 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.562 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.431 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.432 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.500 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.518 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.522 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.590 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.576 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.582 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.608 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.579 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.622 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.518 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.492 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.611 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.572 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.508 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.362 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.540 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.517 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.421 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.526 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.581 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.469 total time=   0.1s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.485 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.432 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.575 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.656 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.361 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.531 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.568 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.569 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.470 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.556 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.546 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.622 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.510 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.502 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.611 total time=   0.1s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.626 total time=   0.1s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.598 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.514 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.537 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.532 total time=   0.1s
[CV 7/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.472 total time=   0.0s
[CV 10/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.493 total time=   0.1s
[CV 2/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.534 total time=   0.1s
[CV 3/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.1s
[CV 4/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.593 total time=   0.1s
[CV 5/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.524 total time=   0.1s
[CV 6/10] END max_depth=8, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.568 total time=   0.1s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.481 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.819 total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.725 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.801 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.726 total time=   0.0s

[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.814 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.779 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.712 total time=   0.0s

[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=8, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.751 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.768 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.777 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.747 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.768 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.657 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.421 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.388 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.385 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.486 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.262 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.714 total time=   0.0s

[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.805 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.743 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.728 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.779 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.790 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.807 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.722 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.374 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.186 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.207 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.294 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.253 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.547 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.797 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.650 total time=   0.0s

[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.795 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.802 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.581 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.334 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.279 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.406 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.246 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.419 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.339 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.090 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.359 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.515 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.450 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.266 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.369 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.276 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.293 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.573 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.176 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.398 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.239 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.364 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.389 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.201 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.293 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.236 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.374 total time=   0.0s[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.550 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.742 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.461 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.585 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.399 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.465 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.446 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.389 total time=   0.0s

[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.472 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.606 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.477 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.414 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.487 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.303 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.435 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.327 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.494 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.398 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.475 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.674 total time=   0.0s

[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.490 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.397 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.351 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.446 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.429 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.421 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.397 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.403 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.319 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.376 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.299 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.332 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.271 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.309 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.241 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.330 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.368 total time=   0.0s

[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.409 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.282 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.246 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.317 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.417 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.246 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.393 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.173 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.222 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.232 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.311 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.205 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.303 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.192 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.270 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.348 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.296 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.417 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.269 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.226 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.305 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.429 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.155 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.342 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.074 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.496 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.419 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.483 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.484 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.460 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.555 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.522 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.589 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.432 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.453 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.532 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.395 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.357 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.328 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.404 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.364 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.379 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.390 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.452 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.440 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.410 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.400 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.543 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.531 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.189 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.276 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.372 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.460 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.218 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.353 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.424 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.355 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.189 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.282 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.318 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.367 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.406 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.282 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.412 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.303 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.226 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.149 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.205 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.334 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.289 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.335 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.373 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.208 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.136 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.285 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.140 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.362 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.351 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.352 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.244 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.382 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.238 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.244 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.349 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.035 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.268 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.346 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.360 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.514 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.485 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.573 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.468 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.232 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.249 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.333 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.308 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.300 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.221 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.370 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.352 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.310 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.396 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.412 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.249 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.346 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.421 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.503 total time=   0.0s

[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.381 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.512 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.394 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.239 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.338 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.334 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.369 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.519 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.318 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.330 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.413 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.360 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.392 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.426 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.382 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.442 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.361 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.421 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.368 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.799 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.780 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.895 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.859 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.852 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.459 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.381 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.390 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.403 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.354 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.447 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.425 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.380 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.383 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.445 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.335 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.337 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.357 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.282 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.358 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.404 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.396 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.351 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.296 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.470 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.835 total time=   0.1s

[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.304 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.191 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.211 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.253 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.324 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.338 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.312 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.421 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.786 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.815 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.814 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.839 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.818 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.779 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.872 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.846 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.717 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.781 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.823 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.834 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.793 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.790 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.772 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.593 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.374 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.388 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.424 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.827 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.809 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.809 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.925 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.801 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.830 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.819 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.872 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.856 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.796 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.846 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.740 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.787 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.693 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.784 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.783 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.738 total time=   0.0s

[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.828 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.850 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.867 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.831 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.815 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.750 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.834 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.745 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.727 total time=   0.0s

[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.901 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.827 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.771 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.771 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.774 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.781 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.811 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.795 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.772 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.774 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.812 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.760 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.762 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.736 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.813 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.724 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.513 total time=   0.0s

[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.783 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.779 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.863 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.774 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.778 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.751 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.457 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.700 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.776 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.746 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.725 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.721 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.672 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.702 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.791 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.721 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.674 total time=   0.0s

[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.682 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.687 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.518 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.617 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.531 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.780 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.665 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.684 total time=   0.0s

[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.656 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.617 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.593 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.361 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.661 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.688 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.596 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.611 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.344 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.340 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.558 total time=   0.0s

[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.332 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.349 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.525 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.424 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.306 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.546 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.534 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.365 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.582 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.481 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.636 total time=   0.0s

[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.581 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.393 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.429 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.547 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.607 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.480 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.441 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.278 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.263 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.382 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.534 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.372 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.460 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.353 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.404 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.327 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.426 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.453 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.560 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.908 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.893 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.898 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.872 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.540 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.534 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.730 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.808 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.863 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.842 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.845 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.918 total time=   0.1s

[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.841 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.532 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.557 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.530 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.531 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.540 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.269 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.334 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.866 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.903 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.874 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.943 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.896 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.818 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.873 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.775 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.836 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.805 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.876 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.737 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.844 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.863 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.846 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.769 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.440 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.896 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.787 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.773 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.857 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.810 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.797 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.818 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.857 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.881 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.866 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.854 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.900 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.846 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.863 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.876 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.902 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.843 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.862 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.853 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.862 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.835 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.829 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.837 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.824 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.878 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.861 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.869 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.884 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.845 total time=   0.0s

[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.861 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.768 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.874 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.857 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.847 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.845 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.865 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.735 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.791 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.863 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.880 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.840 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.827 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.769 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.831 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.858 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.821 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.852 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.845 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.866 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.807 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.823 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.830 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.776 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.807 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.730 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.760 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.661 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.689 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.476 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.852 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.846 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.886 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.881 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.821 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.856 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.805 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.837 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.836 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.785 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.804 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.842 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.805 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.820 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.797 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.833 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.778 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.820 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.763 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.805 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.857 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.815 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.786 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.781 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.745 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.828 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.738 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.772 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.798 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.783 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.711 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.612 total time=   0.0s

[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.748 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.812 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.841 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.757 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.735 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.723 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.753 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.839 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.737 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.738 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.768 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.756 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.741 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.641 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.649 total time=   0.0s

[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.680 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.647 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.675 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.426 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.612 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.623 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.716 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.658 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.431 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.690 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.745 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.708 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.675 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.514 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.625 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.657 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.703 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.616 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.588 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.712 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.596 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.686 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.698 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.784 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.746 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.748 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.765 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.737 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.740 total time=   0.1s

[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.716 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.528 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.384 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.641 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.660 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.641 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.650 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.697 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.739 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.480 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.647 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.682 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.582 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s

[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.634 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.601 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.631 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.683 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.612 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.655 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.686 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.626 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.544 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.397 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.394 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.513 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.310 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.566 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.531 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.663 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.592 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.591 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.403 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.514 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.656 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.633 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.620 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.588 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.617 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.421 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.532 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.599 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.862 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.864 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.823 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.732 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.661 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.614 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.569 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.481 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.636 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.619 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.608 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.664 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.583 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.584 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.567 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.606 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.815 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.877 total time=   0.0s

[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.420 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.553 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.852 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.875 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.904 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.884 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.860 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.831 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.884 total time=   0.0s

[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.884 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.865 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.861 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.896 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.868 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.886 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.903 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.869 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.864 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.853 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.868 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.907 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.850 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.865 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.853 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.874 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.889 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.855 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.805 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.837 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.863 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.850 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.854 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.837 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.814 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.808 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.785 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.818 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.805 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.860 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.811 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.814 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.815 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.818 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.801 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.809 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.843 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.835 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.866 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.831 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.845 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.857 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.850 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.803 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.820 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.883 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.810 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.855 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.796 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.720 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.768 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.807 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.758 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.774 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.761 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.867 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.822 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.910 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.918 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.876 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.911 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.905 total time=   0.0s

[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.877 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.914 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.926 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.826 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.871 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.927 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.886 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.892 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.856 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.879 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.897 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.837 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.881 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.861 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.853 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.892 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.830 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.873 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.800 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.767 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.892 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.852 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.841 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.846 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.896 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.894 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.857 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.881 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.857 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.889 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.862 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.836 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.871 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.856 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.902 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.881 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.922 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.856 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.850 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.852 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.868 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.844 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.740 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.808 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.894 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.830 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.768 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.849 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.801 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.844 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.859 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.862 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.904 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.816 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.833 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.744 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.660 total time=   0.0s

[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.791 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.834 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.856 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.844 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.811 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.871 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.824 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.863 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.713 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.607 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.740 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.721 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.810 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.766 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.774 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.786 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.723 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.780 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.752 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.679 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.683 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.787 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.700 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.688 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.750 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.668 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.683 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.779 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.717 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.732 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.815 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.784 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.792 total time=   0.1s

[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.794 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.839 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.753 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.773 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.756 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.650 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.795 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.690 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.720 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.722 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.751 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.721 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.783 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.851 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.769 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.770 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.819 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.786 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.682 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.660 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.768 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.780 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.839 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.820 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.812 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.827 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.797 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.765 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.721 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.790 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.750 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.718 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.700 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.769 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.763 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.712 total time=   0.1s

[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.697 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.711 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.759 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.722 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.610 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.660 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.481 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.630 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.651 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.671 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.572 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.629 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.671 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.601 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.646 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.367 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.496 total time=   0.0s

[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.793 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.618 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.735 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.760 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.697 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.699 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.652 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.657 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.586 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.650 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.582 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.692 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.517 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.709 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.660 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.683 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.718 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.548 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.571 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.649 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.613 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.689 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.748 total time=   0.1s

[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.627 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.659 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.606 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.650 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.632 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.556 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.519 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.538 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.640 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.645 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.492 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.607 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.619 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.568 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.649 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.576 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.638 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.604 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.835 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.863 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.888 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.876 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.881 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.855 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.873 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.869 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.888 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.836 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.864 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.840 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.908 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.909 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.876 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.488 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.429 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.465 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.794 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.835 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.873 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.882 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.864 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.809 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.856 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.907 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.906 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.914 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.907 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.832 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.909 total time=   0.1s

[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.853 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.625 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.543 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.540 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.910 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.855 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.879 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.871 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.883 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.868 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.916 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.921 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.877 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.916 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.837 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.737 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.892 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.890 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.868 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.879 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.876 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.885 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.867 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.878 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.853 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.751 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.630 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.597 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.575 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s

[CV 5/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.649 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.911 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.903 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.867 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.745 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.893 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.911 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.844 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.877 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.875 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.886 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.924 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.878 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.882 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.889 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.815 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.860 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.847 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.852 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.861 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.882 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.891 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.832 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.895 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.882 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.879 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.835 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.856 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.863 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.895 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.843 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.830 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.878 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.878 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.861 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.803 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.848 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.819 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.812 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.834 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.838 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.822 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.799 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.808 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.828 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.808 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.825 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.809 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.786 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.824 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.822 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.770 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.736 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.837 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.857 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.918 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.890 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.858 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.881 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.773 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.839 total time=   0.0s

[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.860 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.854 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.858 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.819 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.842 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.843 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.866 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.844 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.862 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.815 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.809 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.785 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.778 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.814 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.787 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.816 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.744 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.742 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.813 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.742 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.760 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.811 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.815 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.873 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.725 total time=   0.0s

[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.760 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.798 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.805 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.794 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.824 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.774 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.830 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.770 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.767 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.766 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.851 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.734 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.776 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.762 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.799 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.861 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.811 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.835 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.866 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.845 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.875 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.834 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.871 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.805 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.846 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.848 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.780 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.815 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.860 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.768 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.856 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.752 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.813 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.744 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.747 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.725 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.619 total time=   0.0s

[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.765 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.778 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.763 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.691 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.748 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.838 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.742 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.772 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.673 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.860 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.796 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.806 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.796 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.757 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.812 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.746 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.819 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.733 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.723 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.727 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.652 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.657 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.642 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.734 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.641 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.690 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.669 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.678 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.713 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.746 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.592 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.682 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.789 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.749 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.777 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.856 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.712 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.762 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.698 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.819 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.748 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.764 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.680 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.688 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.770 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.744 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.679 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.608 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.627 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.691 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.722 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.747 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.766 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.724 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.781 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.706 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.702 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.638 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.707 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.759 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.666 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.701 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.706 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.659 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.701 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s

[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.743 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.714 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.673 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.667 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.669 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.673 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.758 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.630 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.702 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.665 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.668 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.636 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.673 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.557 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.691 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.525 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.597 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.526 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.575 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.655 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.577 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.561 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.517 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.568 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.679 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.371 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.622 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.599 total time=   0.0s

[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.687 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.681 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.558 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.680 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.612 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.675 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.683 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.584 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.601 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.590 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.629 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.578 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.567 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.694 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.645 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.470 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.421 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.599 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.489 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.610 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.529 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.645 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.548 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.647 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.627 total time=   0.1s

[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.639 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.602 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.673 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.568 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.652 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.592 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.551 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.601 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.605 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.698 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.739 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.624 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.625 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.672 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.621 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.707 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.586 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.663 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.665 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.601 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.568 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.701 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.679 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.531 total time=   0.1s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.632 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.629 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.634 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.582 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.650 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.1s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.617 total time=   0.1s
[CV 3/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.566 total time=   0.1s
[CV 4/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.663 total time=   0.1s
[CV 5/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.567 total time=   0.1s
[CV 8/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.607 total time=   0.1s
[CV 9/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=10, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.590 total time=   0.1s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_f
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0seatures=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, m
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total timeax_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s

[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.891 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.893 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.835 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.651 total time=   0.0s

[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.815 total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.695 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.850 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=10, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.861 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.840 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.829 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.830 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.879 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.784 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.852 total time=   0.0s

[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.794 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.786 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.871 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.514 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.413 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.921 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.814 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.835 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.829 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.827 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.794 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.794 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.717 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.719 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.668 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.518 total time=   0.0s

[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.791 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.783 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.782 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.870 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.816 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.893 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.804 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.768 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.706 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.757 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.659 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.730 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.718 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.729 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.880 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.835 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.745 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.816 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.795 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.840 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.703 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.664 total time=   0.0s

[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.334 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.486 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.365 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.347 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.398 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.264 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.286 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.375 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.470 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.390 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.270 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.259 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.555 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.396 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.133 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.399 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.387 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.454 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.169 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.431 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.427 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.382 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.390 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.351 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.582 total time=   0.0s

[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.120 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.470 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.492 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.528 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.534 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.346 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.543 total time=   0.0s

[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.574 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.642 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.486 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.349 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.412 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.397 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.382 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.390 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.293 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.504 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.524 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.351 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.204 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.337 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.320 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.303 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.394 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.361 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.131 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.347 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.327 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.316 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.509 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.502 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.330 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.326 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.421 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.282 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.209 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.204 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.429 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.330 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.273 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.327 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.430 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.285 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.304 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.204 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.321 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.324 total time=   0.0s

[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.317 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.226 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.376 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.132 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.528 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.548 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.520 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.503 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.143 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.415 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.433 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.440 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.422 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.498 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.163 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.274 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.396 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.423 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.378 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.421 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.477 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.536 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.509 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.387 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.510 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.572 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.487 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.504 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.313 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.300 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.317 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.465 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.491 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.460 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.315 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.503 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.484 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.376 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.316 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.367 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.336 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.382 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.390 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.562 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.470 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.492 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.497 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.481 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.250 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.288 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.264 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.456 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.378 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.403 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.446 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.546 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.404 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.397 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.225 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.292 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.304 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.454 total time=   0.0s

[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.393 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.338 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.504 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.236 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.244 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.132 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.317 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.187 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.346 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.177 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.337 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.169 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.328 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.302 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.440 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.258 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.342 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.246 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.219 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.324 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.290 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.364 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.464 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.387 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.863 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.895 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.769 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.823 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.918 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.887 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.910 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.734 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.384 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.403 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.539 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.395 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.528 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.333 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.292 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.371 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.366 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.263 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.865 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.913 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.894 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.898 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.911 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.895 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.909 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.825 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.831 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.858 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.852 total time=   0.0s

[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.379 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.414 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.469 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.355 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.913 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.897 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.723 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.872 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.869 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.902 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.882 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.885 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.918 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.871 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.906 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.821 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.424 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.319 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.316 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.427 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.874 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.907 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.811 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.860 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.876 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.914 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.884 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.854 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.852 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.891 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.860 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.784 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.852 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.888 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.848 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.813 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.863 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.774 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.703 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.820 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.874 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.846 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.868 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.872 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.817 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.766 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.774 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.758 total time=   0.0s

[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.877 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.881 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.885 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.772 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.826 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.815 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.781 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.756 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.773 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.724 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.752 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.754 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.722 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.492 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.538 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.827 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.837 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.811 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.740 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.735 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.702 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.740 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.677 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.744 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.772 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.773 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.799 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.717 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.647 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.716 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.748 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.809 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.756 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.687 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.0s

[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.337 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.470 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.484 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.444 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s

[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.702 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.700 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.644 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.735 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.573 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.675 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.679 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.559 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.581 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.582 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.627 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.435 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.431 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.494 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.359 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.477 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.513 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.314 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.394 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.414 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.928 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.548 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.420 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.369 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.530 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.537 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.913 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.930 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.948 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.893 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.308 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.430 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.490 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.369 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.909 total time=   0.0s

[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.383 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.492 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.548 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.573 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.575 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.928 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.931 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.919 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.907 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.938 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.890 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.924 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.913 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.911 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.895 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.914 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.880 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.811 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.913 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.835 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.935 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.911 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.937 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.877 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.931 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.884 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.897 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.791 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.888 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.913 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.914 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.835 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.763 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.849 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.848 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.860 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.847 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.837 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s

[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.903 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.921 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.921 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.932 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.908 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.901 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.898 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.902 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.881 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.889 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.895 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.869 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.900 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.868 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.693 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.815 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.773 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.797 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.818 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.912 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.831 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.827 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.768 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.785 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s

[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.890 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.825 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.857 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.853 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.788 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.816 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.752 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.749 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.750 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.744 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.701 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.867 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.895 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.826 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.818 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.830 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.847 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.809 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.803 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.801 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.829 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.838 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.838 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.750 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.779 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.737 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.786 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.834 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.822 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.794 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.822 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.776 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.749 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.786 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.732 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.782 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.774 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.738 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.760 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.811 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.786 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.811 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.871 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.810 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.798 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.743 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.791 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.693 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.752 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.728 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.734 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.536 total time=   0.0s

[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.740 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.744 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.760 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.789 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.829 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.696 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.713 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.688 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.701 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.668 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.579 total time=   0.0s

[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.622 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.665 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.598 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.683 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.655 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.659 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.730 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.718 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.657 total time=   0.0s

[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.660 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.507 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.646 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.693 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.551 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.393 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.396 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.479 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.447 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.329 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.584 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.916 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.916 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.936 total time=   0.0s

[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.689 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.565 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.330 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.393 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.533 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.561 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.621 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.551 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.939 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.940 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.926 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.910 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.658 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.581 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.579 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.634 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.578 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.346 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.956 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.925 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s

[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.924 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.906 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.934 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.906 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.850 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.853 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.950 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.641 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.607 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.622 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.585 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.521 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.553 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.654 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.623 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.509 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.608 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.860 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.934 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.918 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.912 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.907 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.899 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.914 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.922 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.937 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.908 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.930 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.922 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.867 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.880 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.933 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.924 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.923 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.906 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.926 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.912 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.923 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.906 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.913 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.879 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.923 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.817 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.859 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.875 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.892 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.893 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.766 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.934 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.848 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.872 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.859 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.781 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.917 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.870 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.898 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.904 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.933 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.921 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.915 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.938 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.923 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.912 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.925 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.910 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.911 total time=   0.1s

[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.904 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.902 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.819 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.831 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.845 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.885 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.894 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.915 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.853 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.848 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.895 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.736 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.751 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.820 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.898 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.776 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.848 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.821 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.846 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.776 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.792 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.791 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.832 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.847 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.829 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.856 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.839 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.814 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.850 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.852 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.879 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.853 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.811 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.852 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.820 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.809 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.830 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.728 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.760 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.805 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.736 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.748 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.821 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.559 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.606 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.769 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.768 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.614 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.922 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.910 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.1s

[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.888 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.846 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.834 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.897 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.822 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.843 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.817 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.735 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.834 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.806 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.755 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.813 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.792 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.770 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.815 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.793 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.797 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.792 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.769 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.781 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.753 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.710 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.780 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.606 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.688 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.739 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.719 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.792 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.690 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.820 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.768 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.738 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.717 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.841 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.561 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.698 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.695 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.759 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.760 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.789 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.752 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.717 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.772 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.739 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.724 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.743 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.768 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.754 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.821 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.698 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.743 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.604 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.642 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.735 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.675 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.718 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.665 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.679 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.579 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.658 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.657 total time=   0.1s

[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.670 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.460 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.715 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.703 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.721 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.720 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.759 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.659 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.683 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.615 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.604 total time=   0.0s

[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.726 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.700 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.717 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.760 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.677 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.751 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.685 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.722 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.662 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.717 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.730 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.714 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.720 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.602 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.721 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.588 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.707 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.482 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.745 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.771 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.709 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.692 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.657 total time=   0.0s

[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.741 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.779 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.657 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.713 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.748 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.720 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.708 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.739 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.671 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.707 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.687 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.677 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.654 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.697 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.701 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.690 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.653 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.619 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.569 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.613 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.691 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.697 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.666 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.684 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.725 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.645 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.707 total time=   0.2s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.563 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.627 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.680 total time=   0.1s

[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.554 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.549 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.658 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.703 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.603 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.646 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.524 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.497 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.452 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.475 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.575 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.594 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.544 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.584 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.648 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.572 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.559 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.606 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.616 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.639 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.633 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.706 total time=   0.1s

[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.600 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.640 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.594 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.620 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.645 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.661 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.649 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.672 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.503 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.635 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.939 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.955 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.910 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.910 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.616 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.620 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.628 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.636 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.580 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.715 total time=   0.2s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.649 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.653 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.670 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.576 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.631 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.580 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.495 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.609 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.563 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.583 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.566 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.604 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.622 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.505 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.929 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.890 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.906 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.931 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.867 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.663 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.684 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.542 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.651 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.447 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.641 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.612 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.663 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.610 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.576 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.672 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.580 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.647 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.644 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.562 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.580 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.637 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.630 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.646 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.929 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.921 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.924 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.928 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.945 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.911 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.932 total time=   0.1s

[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.599 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.917 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.918 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.868 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.943 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.880 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.934 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.887 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.926 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.908 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.933 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.900 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.899 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.917 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.881 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.906 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.836 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.801 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.774 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.849 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.872 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.836 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.902 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.780 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.898 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.880 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.946 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.938 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.865 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.875 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.882 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.951 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.907 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.916 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.880 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.921 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.860 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.860 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.873 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.720 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.876 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.855 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.837 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.786 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.828 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.915 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.851 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.861 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.774 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.840 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.857 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.894 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.912 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.818 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.835 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.802 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.792 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.915 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.931 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.936 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.848 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.906 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.881 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.903 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.922 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.939 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.935 total time=   0.2s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.872 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.908 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.924 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.915 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.923 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.861 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.900 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.865 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.869 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.907 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.865 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.900 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.831 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.867 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.890 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.720 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.739 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.833 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.853 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.815 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.834 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.784 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.900 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.760 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.836 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.828 total time=   0.0s

[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.893 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.921 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.893 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.922 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.902 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.925 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.880 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.883 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.945 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.908 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.834 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.879 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.932 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.788 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.771 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.882 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.860 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.848 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.781 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.821 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.884 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.836 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.713 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.805 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.768 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.863 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.769 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.893 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.834 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.865 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.856 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.2s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.828 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.851 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.805 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.785 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.800 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.862 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.797 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.830 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.903 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.760 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.832 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.778 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.810 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.876 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.764 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.743 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.753 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.838 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.811 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.721 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s

[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.790 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.854 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.833 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.2s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.731 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.757 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.781 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.850 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.809 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.856 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.794 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.828 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.673 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.787 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.679 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.665 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.719 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.754 total time=   0.2s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.656 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.715 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.743 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.724 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.731 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.677 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.699 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.630 total time=   0.0s

[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.615 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.722 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.731 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.826 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.793 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.781 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.830 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.750 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.802 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.782 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.729 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.703 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.789 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.692 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.684 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.733 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.747 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.745 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.721 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.680 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.600 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.658 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.692 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.701 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.656 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.715 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.697 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.693 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.816 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.854 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.750 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.795 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.739 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.708 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.781 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.773 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.738 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.725 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.690 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.776 total time=   0.2s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.795 total time=   0.2s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.678 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.723 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.792 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.679 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.693 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.666 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.697 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.611 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.702 total time=   0.1s

[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.811 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.665 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.725 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.736 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.726 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.598 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.680 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.596 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.661 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.683 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.784 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.687 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.741 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.718 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.641 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.724 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.635 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.709 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.714 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.719 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.657 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.609 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.722 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.714 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.661 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.589 total time=   0.0s

[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.701 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.715 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.610 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.674 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.665 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.647 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.638 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.645 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.668 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.669 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.586 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.690 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.718 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.573 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.567 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.551 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.596 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.531 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.750 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.718 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.660 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.638 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.701 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.735 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.745 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.667 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.696 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.727 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.684 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.713 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.593 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.612 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.487 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.693 total time=   0.0s

[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.622 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.432 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.683 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.701 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.601 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.615 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.699 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.638 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.667 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.629 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.576 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.649 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.538 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.590 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.653 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.661 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.540 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.683 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.625 total time=   0.1s

[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.659 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.587 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.687 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.526 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.577 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.603 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.675 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.644 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.674 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.663 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.616 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.664 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.600 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.533 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.625 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.637 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.569 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.667 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.598 total time=   0.1s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.409 total time=   0.0s
[CV 5/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.597 total time=   0.1s
[CV 3/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.655 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.1s
[CV 8/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.636 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.558 total time=   0.1s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.610 total time=   0.1s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.598 total time=   0.1s
[CV 1/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.580 total time=   0.1s
[CV 2/10] END max_depth=12, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.565 total time=   0.1s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.902 total time=   0.0s

[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.901 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.769 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.869 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.850 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.876 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.814 total time=   0.0s

[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.906 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.875 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.840 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.846 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.902 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.891 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.882 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.760 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.783 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.826 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.791 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.932 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.818 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.897 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.880 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.422 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.497 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.724 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.702 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.810 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.754 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.767 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.780 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.812 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.348 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.389 total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=12, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.843 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.902 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.934 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.889 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.868 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.825 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.797 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.786 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.767 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.693 total time=   0.0s

[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.844 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.855 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.871 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.839 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.879 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.664 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.782 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.709 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.729 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.713 total time=   0.0s

[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.725 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.774 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.573 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.378 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.195 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.736 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.772 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.288 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.637 total time=   0.0s

[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.464 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.361 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.270 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.465 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.295 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.294 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.387 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.285 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.566 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.394 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.620 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.532 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.169 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.370 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.130 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.360 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.325 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.550 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.436 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.519 total time=   0.0s

[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.312 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.227 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.457 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.439 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.504 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.270 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.102 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.425 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.447 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.297 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.329 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.275 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.410 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.235 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.370 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.288 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.271 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.355 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.119 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.241 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.380 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.298 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.431 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.187 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.341 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.231 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.380 total time=   0.0s

[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.446 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.292 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.430 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.369 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.504 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.363 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.415 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.274 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.427 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.490 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.509 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.486 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.481 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.469 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.394 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.475 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.514 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.508 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.490 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.208 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.233 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.294 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.349 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.394 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.390 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.432 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.405 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.440 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.573 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.506 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.448 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.343 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.233 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.425 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.399 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.386 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.441 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.379 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.364 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.158 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.311 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.420 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.256 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.387 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.379 total time=   0.0s

[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.352 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.289 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.407 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.328 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.165 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.262 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.327 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.352 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.295 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.311 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.350 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.315 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.407 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.398 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.321 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.446 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.390 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.882 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.873 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.932 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.343 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.390 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.321 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.388 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.429 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.241 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.411 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.340 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.272 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.213 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.331 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.369 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.388 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.401 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.291 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.400 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.403 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.901 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.896 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.935 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.889 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.855 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.848 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s

[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.908 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.406 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.369 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.314 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.261 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.354 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.422 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.315 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.458 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.431 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.372 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.343 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.358 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.371 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.423 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.941 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.883 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.907 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.413 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.470 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.262 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.436 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.495 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.381 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.358 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.479 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.415 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.341 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.332 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.361 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.312 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.927 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s

[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.831 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.861 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.802 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.838 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.791 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.832 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.848 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.838 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.784 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.783 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.839 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.835 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.884 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.836 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.916 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.929 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.918 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.871 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.871 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.872 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.879 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.771 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.927 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.912 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.928 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.923 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.894 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.895 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.896 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.867 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.888 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.773 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.836 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.848 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.780 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.733 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.776 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.718 total time=   0.0s

[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.899 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.817 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.894 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.908 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.890 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.903 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.865 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.884 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.860 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.886 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.887 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.786 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.850 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.807 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.760 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.688 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.805 total time=   0.0s

[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.765 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.856 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.755 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.731 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.770 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.735 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.757 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.800 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.699 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.781 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.806 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.743 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.720 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.740 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s

[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.748 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.781 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.745 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.761 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.737 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.626 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.750 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.720 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.715 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.706 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.659 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.733 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.485 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.382 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.0s

[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.805 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.726 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.746 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.702 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.716 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.696 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.718 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.708 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.714 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.699 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.293 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.435 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.390 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.310 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.615 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.627 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.397 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.409 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.408 total time=   0.0s

[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.711 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.562 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.255 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.511 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.533 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.532 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.727 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.566 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.463 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.578 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.553 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.541 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.516 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.453 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.446 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.516 total time=   0.0s

[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.603 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.885 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.944 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.921 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.925 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.887 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.478 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.971 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.932 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.965 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.908 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.930 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.824 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.831 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.395 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.913 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.950 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.869 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.879 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.865 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.892 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.882 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.558 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.540 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.895 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s

[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.928 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.939 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.828 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.849 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.910 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.924 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.890 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.861 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.863 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.886 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.917 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.935 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.890 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.795 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.923 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.871 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.916 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.891 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.925 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.885 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.837 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.896 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.892 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.744 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.765 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.831 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.826 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.781 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.841 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.840 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.713 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.768 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.796 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.760 total time=   0.1s

[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.891 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.863 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.894 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.861 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.894 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.810 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.762 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.808 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.845 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.766 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.758 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.744 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.829 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.864 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.822 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.855 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.740 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.846 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.832 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.818 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.841 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.863 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s

[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.789 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.733 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.724 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.729 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.788 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.775 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.732 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.689 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.826 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.794 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.846 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.852 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.745 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.785 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.759 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.756 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.827 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.761 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.734 total time=   0.0s

[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.757 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.722 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.697 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.707 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.752 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.725 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.789 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.774 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.805 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.463 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.574 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.745 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.626 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.657 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.657 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.652 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.788 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.727 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.711 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.627 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.706 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.731 total time=   0.1s

[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.656 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.664 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.757 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.745 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.772 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.765 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.677 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.613 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.580 total time=   0.0s

[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.644 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.693 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.626 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.680 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.673 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.638 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.647 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.632 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.672 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.573 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.472 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.619 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.624 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.642 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.907 total time=   0.0s

[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.648 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.667 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.651 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.525 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.639 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.625 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.604 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.629 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.610 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.572 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.566 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.568 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.648 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.682 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.555 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.627 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.537 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.620 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.643 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.602 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.544 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s

[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.670 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.619 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.688 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.674 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.625 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.631 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.664 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.627 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.665 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.479 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.570 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.971 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.952 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.905 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.939 total time=   0.0s

[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.906 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.852 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.844 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.780 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.861 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.824 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.831 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.876 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.872 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.941 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.845 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.898 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.863 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.773 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.863 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.882 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.787 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.785 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.826 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.778 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.857 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.869 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.896 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.828 total time=   0.0s

[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.606 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.987 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.930 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.941 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.916 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.913 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.933 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.901 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.886 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.932 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.867 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.931 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.910 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.877 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.922 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.841 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.850 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.857 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.917 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.868 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.763 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.724 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.781 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.710 total time=   0.0s

[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.867 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.862 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.852 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.913 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.932 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.750 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.831 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.811 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.857 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.805 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.783 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.836 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.827 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.785 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.819 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.774 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s

[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.858 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.906 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.838 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.864 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.840 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.842 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.760 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.807 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.817 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.784 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.776 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.752 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.780 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.794 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.900 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.809 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.859 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.794 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.864 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.793 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.823 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.852 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.813 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.709 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.707 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.699 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.753 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.746 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.804 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.731 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.799 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.799 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.742 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.632 total time=   0.0s

[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.784 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.793 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.805 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.784 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.776 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.723 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.805 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.826 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.775 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.753 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.757 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.728 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.715 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.689 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.723 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.718 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.838 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.828 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.819 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.812 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.787 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.693 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.757 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.677 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.690 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.750 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.777 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.781 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.613 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.688 total time=   0.0s

[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.720 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.737 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.689 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.679 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.689 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.696 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.613 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.689 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.620 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.682 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.674 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.578 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.647 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.610 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.575 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.594 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.637 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.679 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.679 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.669 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.683 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.664 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.573 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.660 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.367 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.619 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.739 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.662 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.727 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.652 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.470 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.484 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.623 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.687 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.691 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.683 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.692 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.705 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.645 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.541 total time=   0.1s

[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.668 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.685 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.495 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.637 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.587 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.639 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.545 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.637 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.614 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.674 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.588 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.669 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.580 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.1s

[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.593 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.508 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.541 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.484 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.523 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.941 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.866 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.952 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.902 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.974 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.973 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.911 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.649 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.665 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.570 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.656 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.593 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.679 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.0s

[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.897 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.880 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.950 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.850 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.942 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.592 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.591 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.644 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.626 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.616 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.621 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.635 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.927 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.929 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.952 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.949 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.922 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.922 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.971 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.915 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.974 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.922 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.932 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.948 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.966 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.903 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.806 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.869 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.859 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.854 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.872 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.871 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.915 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.875 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.930 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.736 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.735 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.917 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.884 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.927 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.925 total time=   0.0s

[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.956 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.883 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.791 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.846 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.815 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.823 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.893 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.828 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.874 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.851 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.906 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.834 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.881 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.737 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.844 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.815 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.789 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.895 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.827 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.872 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.804 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.832 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.890 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.831 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.889 total time=   0.0s

[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.859 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.880 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.935 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.862 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.885 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.844 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.792 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.848 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.837 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.765 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.856 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.810 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.789 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.913 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.887 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.909 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.943 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.926 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.932 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.916 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.788 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.819 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.860 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.831 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.847 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.854 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.847 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.732 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.751 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.718 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.791 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.791 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.814 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.864 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.854 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.814 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.807 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.826 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.792 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.858 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.847 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.894 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.627 total time=   0.0s

[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.856 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.829 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.863 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.903 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.850 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.766 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.805 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.679 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.800 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.823 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.783 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.804 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.767 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.805 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.734 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.692 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.772 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.731 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.697 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.764 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.721 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.576 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.599 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.655 total time=   0.1s

[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.773 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.811 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.788 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.826 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.813 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.828 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.792 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.735 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.803 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.782 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.695 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.1s

[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.740 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.664 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.740 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.660 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.614 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.713 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.661 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.540 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.655 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.769 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.766 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.800 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.713 total time=   0.0s

[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.773 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.764 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.745 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.705 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.671 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.776 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.769 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.741 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.724 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.614 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.633 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.705 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.691 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.831 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.744 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.746 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.819 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.672 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.740 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.736 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.724 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.775 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.702 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.743 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.690 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.697 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.752 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.649 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.733 total time=   0.1s

[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.699 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.473 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.626 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.684 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.700 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.701 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.620 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.549 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.620 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.651 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.542 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.614 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.564 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.626 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.691 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.593 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.656 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.629 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.613 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.408 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.748 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.777 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.741 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.725 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.739 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.693 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.650 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.718 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.659 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.585 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.668 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.660 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.648 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.583 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.588 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.656 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.575 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.664 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.673 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.618 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.660 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.628 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.646 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.628 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.667 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.457 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.596 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.640 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.640 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.571 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.674 total time=   0.1s
[CV 5/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.618 total time=   0.1s
[CV 7/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.608 total time=   0.1s
[CV 8/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.544 total time=   0.1s
[CV 10/10] END max_depth=14, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.642 total time=   0.1s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;,
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total tim score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0se=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.885 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.874 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.842 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.925 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.928 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.928 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.927 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.764 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.815 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.913 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.884 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.922 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.812 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.831 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.853 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.914 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.857 total time=   0.1s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.869 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.856 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.911 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.878 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.925 total time=   0.1s

[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.908 total time=   0.1s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=14, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.927 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.918 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.908 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.901 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.827 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.846 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.850 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.823 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.853 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.828 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.915 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.791 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.793 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.817 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.901 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.918 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.922 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.873 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.884 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.816 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.853 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.928 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.893 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.905 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.878 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.891 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.844 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.876 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.877 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.816 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.808 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.859 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.634 total time=   0.0s

[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.261 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.069 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.357 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.417 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.402 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.728 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.389 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.250 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.462 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.437 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.917 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.897 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.800 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.790 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.825 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.881 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.835 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.760 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.805 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.746 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.729 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.811 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.875 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.910 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.549 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.723 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.771 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.768 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.680 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.653 total time=   0.0s

[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.487 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.532 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.194 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.303 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.235 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.386 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.511 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.323 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.558 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.391 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.492 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.244 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.316 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.302 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.376 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.671 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.462 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.255 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.382 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.479 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.516 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.585 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.522 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.494 total time=   0.0s

[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.286 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.645 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.365 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.483 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.509 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.423 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.430 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.479 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.453 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.419 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.288 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.255 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.192 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.252 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.394 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.256 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.258 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.443 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.231 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.285 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.242 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.304 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.335 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.357 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.502 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.483 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.276 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.301 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.318 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.264 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.318 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.296 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.319 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.335 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.351 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.447 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.503 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.467 total time=   0.0s

[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.416 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.399 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.359 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.301 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.418 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.423 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.434 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.424 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.296 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.213 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.389 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.264 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.389 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.257 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.508 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.409 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.219 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.230 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.004 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.154 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.226 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.208 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.287 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.012 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.321 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.352 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.310 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.420 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.235 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.490 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.524 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.413 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.425 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.421 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.451 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.478 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.381 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.362 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.303 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.472 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.271 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.468 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.280 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.286 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.361 total time=   0.0s

[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.509 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.608 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.408 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.482 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.333 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.382 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.460 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.371 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.412 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.234 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.269 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.044 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.418 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.188 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.250 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.341 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.384 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.355 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.334 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.371 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.940 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.926 total time=   0.0s

[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.902 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.920 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.831 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.843 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.880 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.391 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.500 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.384 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.446 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.336 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.375 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.933 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.952 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.946 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.841 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.893 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.892 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.965 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.873 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.791 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.309 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.390 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.370 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.376 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.398 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.327 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.437 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.371 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.456 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.283 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.931 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.882 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.833 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.832 total time=   0.0s

[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.738 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.863 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.814 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.818 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.814 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.869 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.809 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.811 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.798 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.837 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.844 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.948 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.844 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.874 total time=   0.0s

[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.906 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.864 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.875 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.884 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.807 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.797 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.759 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.907 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.770 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.768 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.857 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.855 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.692 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.773 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.731 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.774 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.786 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.797 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.709 total time=   0.0s

[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.832 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.877 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.874 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.825 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.793 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.726 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.544 total time=   0.0s

[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.801 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.769 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.668 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.699 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.678 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.346 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.406 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.661 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.498 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.495 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.448 total time=   0.0s

[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.803 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.612 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.735 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.688 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.705 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.718 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.735 total time=   0.1s

[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.773 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.726 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.671 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.614 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.599 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.646 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.769 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.712 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.617 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.577 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.448 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.621 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.427 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.575 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.581 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.555 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.468 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.490 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.461 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.362 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.359 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.434 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.441 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.287 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.505 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.592 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.605 total time=   0.0s

[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.694 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.534 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.649 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.630 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.613 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.648 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.598 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.567 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.927 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.983 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.534 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.314 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.376 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.483 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.374 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.363 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.558 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.596 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.302 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.478 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.386 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.358 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.621 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.513 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.576 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.902 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.905 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.904 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.947 total time=   0.0s

[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.509 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.584 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.482 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.604 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.927 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.914 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.825 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.714 total time=   0.0s

[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.761 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.484 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.906 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.876 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.811 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.880 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.921 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.881 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.911 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.964 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.910 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.850 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.876 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.877 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.880 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.843 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.783 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.842 total time=   0.1s

[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.938 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.840 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.913 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.882 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.900 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.901 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.935 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.885 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.710 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.751 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.791 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.836 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.860 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.0s

[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.786 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.850 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.880 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.922 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.886 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.924 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.893 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.912 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.860 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.757 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.826 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.808 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.811 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.743 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.919 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.946 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.939 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.896 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.836 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.846 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.783 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.767 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.774 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.742 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.806 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.780 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.707 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.796 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.816 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.752 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.758 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.849 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.873 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.808 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.720 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.737 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.812 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.799 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.820 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.784 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.708 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.811 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.762 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.704 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.773 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.753 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.731 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.774 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.793 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.719 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.754 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.1s

[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.643 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.752 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.787 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.718 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.658 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.619 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.627 total time=   0.0s

[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.739 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.683 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.725 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.709 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.765 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.693 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.672 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.507 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.548 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.577 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.745 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.747 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.642 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.711 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.733 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.623 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.606 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.452 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.407 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.524 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.386 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.524 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.605 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.650 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.631 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.627 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.599 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.585 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.662 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.592 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.622 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.621 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.343 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.456 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.345 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.372 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.333 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.401 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.504 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.579 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.979 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.974 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.981 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s

[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.983 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.561 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.588 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.637 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.590 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.445 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.984 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.876 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.902 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s

[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.908 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.946 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.898 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.950 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.930 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.887 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.930 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.852 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.852 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.876 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.808 total time=   0.0s

[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.938 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.984 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.922 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.923 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.934 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.871 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.841 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.824 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.755 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.825 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.858 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.861 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.857 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.848 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.895 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.937 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.880 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.849 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.867 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.718 total time=   0.0s

[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.922 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.906 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.867 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.869 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.793 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.835 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.781 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.836 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.895 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.869 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.893 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.888 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.915 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.878 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.888 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.874 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.845 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.916 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.852 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.856 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.777 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.840 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.809 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.804 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.806 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.860 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.699 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.747 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.776 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.797 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.817 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.836 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.867 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.846 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.693 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.784 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.708 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.720 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.700 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.733 total time=   0.0s

[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.821 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.885 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.814 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.860 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.873 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.860 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.775 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.789 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.823 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.742 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.807 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.776 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.725 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.789 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.667 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.806 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.790 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.793 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.700 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.805 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.699 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.785 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.766 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.782 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.723 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.739 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.773 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.695 total time=   0.0s

[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.770 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.822 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.845 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.772 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.825 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.719 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.707 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.713 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.769 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.704 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.762 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.775 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.719 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.745 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.723 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.724 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.727 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.727 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.725 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.770 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.664 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.742 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.679 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.708 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.682 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.406 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.631 total time=   0.0s

[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.719 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.717 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.650 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.649 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.695 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.709 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.686 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.594 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.564 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.567 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.658 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.682 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.637 total time=   0.0s

[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.441 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.709 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.701 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.688 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.727 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.654 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.672 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.668 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.666 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.703 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.581 total time=   0.0s

[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.612 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.693 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.620 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.635 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.659 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.646 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.547 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.534 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.671 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.577 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.581 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.675 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.627 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.643 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.408 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.657 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.587 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.611 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.398 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.430 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.905 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.894 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.901 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.914 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.891 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.932 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.919 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.897 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.1s

[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.592 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.982 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.949 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.967 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.902 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s

[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.918 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.956 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.977 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.910 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.913 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.922 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.903 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.932 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.916 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.894 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.833 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.840 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.827 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.913 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.929 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.880 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.860 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.874 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.919 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.929 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.953 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.936 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.929 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.897 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.891 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.938 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.858 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.828 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.864 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.866 total time=   0.0s

[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.852 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.864 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.843 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.855 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.912 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.744 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.891 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.928 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.836 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.892 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.780 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.773 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.832 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.770 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.772 total time=   0.0s

[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.855 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.862 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.862 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.854 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.881 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.840 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.853 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.879 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.916 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.880 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.882 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.809 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.757 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.776 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.782 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.758 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.798 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.856 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.762 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.800 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.716 total time=   0.0s

[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.801 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.824 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.881 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.847 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.816 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.784 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.787 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.812 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.774 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.835 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.822 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.859 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.764 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.811 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.809 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.792 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.787 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.677 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.737 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.707 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.725 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.759 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.702 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.732 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.669 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.744 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.733 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.736 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.694 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.713 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.613 total time=   0.0s

[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.861 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.827 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.799 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.882 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.841 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.876 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.837 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.732 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.805 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.798 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.748 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.744 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.777 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.740 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.783 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.745 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.772 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.811 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.725 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.659 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.745 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.743 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.737 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.702 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.706 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.682 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.735 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.747 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.772 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.664 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.763 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.782 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.777 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.672 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.763 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.724 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.816 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.745 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.731 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.795 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.759 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.770 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.804 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.629 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.659 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.694 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.733 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.661 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.695 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.662 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.745 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.767 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.762 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.792 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.747 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.757 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.689 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.753 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.812 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.740 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.770 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.763 total time=   0.1s

[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.762 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.678 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.689 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.643 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.712 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.672 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.656 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.727 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.645 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.707 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.722 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.674 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.617 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.651 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.660 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.723 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.653 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.701 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.697 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.649 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.575 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.553 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.635 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.710 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.586 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.642 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.697 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.700 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.673 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.632 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.671 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.585 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.664 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.628 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.670 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.662 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.702 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.691 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.705 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.617 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.656 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.615 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.651 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.730 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.694 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.718 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.643 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.675 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.613 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.691 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.610 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.536 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.654 total time=   0.0s

[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.617 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.586 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.664 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.613 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.702 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.618 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.622 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.676 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.572 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.610 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.679 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.596 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.633 total time=   0.1s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.669 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.513 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.584 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.575 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.647 total time=   0.1s
[CV 9/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.1s
[CV 10/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.543 total time=   0.1s
[CV 3/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.605 total time=   0.1s
[CV 4/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.662 total time=   0.1s
[CV 5/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=16, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.677 total time=   0.1s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.801 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.927 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.938 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.892 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.805 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.817 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.897 total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.860 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.872 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.898 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.856 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.817 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.877 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.854 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.791 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.788 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=16, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.929 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.900 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.911 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.930 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.906 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.900 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.902 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.878 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.875 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.820 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.934 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.914 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.757 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.837 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.815 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.626 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.345 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.834 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.855 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.849 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.820 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.827 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.830 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.854 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.670 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.830 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.805 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.717 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.696 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.441 total time=   0.0s

[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.358 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.733 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.784 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.773 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.775 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.795 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.772 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.743 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.717 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.720 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.709 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.827 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.773 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.761 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.776 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.830 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.540 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.176 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.409 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.393 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.337 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.407 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.647 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.560 total time=   0.0s

[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.239 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.313 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.454 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.292 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.480 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.401 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.426 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.389 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.466 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.401 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.475 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.264 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.393 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.387 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.387 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.421 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.131 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.377 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.365 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.344 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.376 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.339 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.544 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.646 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.522 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.541 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.439 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.383 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.431 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.504 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.317 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.542 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.429 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.225 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.340 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.460 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.423 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.348 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.444 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.540 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.536 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.432 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.443 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.492 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.429 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.398 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.321 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.334 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.284 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.243 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.284 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.512 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.353 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.409 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.298 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.312 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.416 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.398 total time=   0.0s

[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.520 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.501 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.307 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.487 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.400 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.348 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.422 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.390 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.467 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.337 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.492 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.411 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.544 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.464 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.392 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.492 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.527 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.496 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.399 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.370 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.494 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.129 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.393 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.313 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.284 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.379 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.264 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.443 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.529 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.399 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.356 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.355 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.379 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.555 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.438 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.397 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.476 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.450 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.205 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.281 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.383 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.462 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.392 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.287 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.402 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.468 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.917 total time=   0.0s

[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.503 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.278 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.236 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.256 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.376 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.219 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.411 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.382 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.251 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.291 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.246 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.191 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.180 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.208 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.246 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.293 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.251 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.390 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.392 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.425 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.313 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.446 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.341 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.210 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.284 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.465 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.322 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.435 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.329 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.439 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.253 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.184 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.247 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.329 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.295 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.113 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.318 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.350 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.293 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.425 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.373 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.321 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.402 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.385 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.383 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.500 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.473 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.397 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.337 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.320 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.488 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.413 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.923 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.971 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.943 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.898 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.890 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.926 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.917 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.790 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s

[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.937 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.867 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.921 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.937 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.793 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.823 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.906 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.664 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.806 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.765 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.648 total time=   0.0s

[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.894 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.958 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.933 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.827 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.896 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.900 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.886 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.885 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.880 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.890 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.858 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.894 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.858 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.835 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.860 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.828 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.871 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.728 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.764 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.850 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.827 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.850 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.830 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.840 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.774 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.780 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.734 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.875 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.891 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.884 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.888 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.892 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.833 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.790 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.779 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.836 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.778 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.835 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.730 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.687 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.744 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.728 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.816 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.728 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.731 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.711 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.484 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.590 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.617 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.429 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.640 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.692 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.699 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.724 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.659 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.779 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.673 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.728 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.576 total time=   0.0s

[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.681 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.678 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.608 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.465 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.549 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.420 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.467 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.332 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.328 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.409 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.439 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.507 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.536 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.307 total time=   0.0s

[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.645 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.658 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.399 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.692 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.454 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.593 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.531 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.468 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.600 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.417 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.425 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.392 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.276 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.519 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.409 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.490 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.407 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.610 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.416 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.421 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.533 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.470 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.919 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s

[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.491 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.983 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.860 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.926 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.897 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.921 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.562 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.600 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.526 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.979 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.984 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.910 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.891 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.939 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.893 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.905 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.951 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.819 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.867 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.809 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.869 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.855 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.929 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.869 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.850 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.890 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.935 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.853 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.706 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.920 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.916 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.876 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.704 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.807 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.765 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.838 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.797 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.768 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.766 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.800 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.831 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.900 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.913 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.882 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.855 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.858 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.900 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.856 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.869 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.855 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.857 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.830 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.844 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.795 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.764 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.830 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.787 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.786 total time=   0.1s

[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.932 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.914 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.960 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.824 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.844 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.867 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.794 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.809 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.859 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.794 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.785 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.802 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.802 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.746 total time=   0.0s

[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.834 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.876 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.826 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.853 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.837 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.768 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.791 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.811 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.738 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.754 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.755 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.794 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.699 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.715 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.664 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.772 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.807 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.801 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s

[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.803 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.780 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.677 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.748 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.716 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.701 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.560 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.449 total time=   0.1s

[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.520 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.772 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.732 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.765 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.757 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.655 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.674 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.649 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.656 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.662 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.718 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.675 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.628 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.646 total time=   0.1s

[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.669 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.708 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.749 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.761 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.694 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.716 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.613 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.673 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.726 total time=   0.2s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.630 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.696 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.707 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.603 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.635 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.601 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.563 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.603 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.440 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.747 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.738 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.645 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.709 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.663 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.674 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.416 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.573 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.700 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.614 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.692 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.642 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.668 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.668 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.622 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.694 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.588 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.656 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.622 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.675 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.563 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.548 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.454 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.666 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.592 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.584 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.620 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.656 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.520 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.666 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.696 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.655 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.685 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.575 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.663 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.531 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.617 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.619 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.583 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.570 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.335 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.347 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.510 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.627 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.579 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.984 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.917 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.608 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.656 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.518 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.516 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.608 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.681 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.790 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.564 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.616 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.567 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.923 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.964 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.952 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.950 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.913 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.971 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s

[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.939 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.921 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.888 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.874 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.907 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.948 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.894 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.885 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.937 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s

[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.931 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.931 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.970 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.915 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.865 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.865 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.849 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.910 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.821 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.876 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.843 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.850 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.866 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.909 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.861 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.789 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.717 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.768 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.831 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.876 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.892 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.819 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.863 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.744 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.793 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.822 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.779 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.849 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.784 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.865 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.893 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.893 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.858 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.923 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.861 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.887 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.839 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.877 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.770 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.819 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.781 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.851 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.748 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.831 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.813 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.806 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.700 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.890 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.935 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.932 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.831 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.840 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.826 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.869 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.895 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.822 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.858 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.895 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.746 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.720 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.779 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.817 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.791 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.757 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.817 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.806 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.757 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.769 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.812 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.694 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.809 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.789 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.817 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.745 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.734 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.757 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.747 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.752 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.785 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.675 total time=   0.0s

[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.631 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.784 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.683 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.726 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.745 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.684 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.766 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.687 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.751 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.708 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.739 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s

[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.723 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.775 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.716 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.745 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.753 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.724 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.739 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.724 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.743 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.699 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.691 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.771 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.727 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.681 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.787 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.785 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.810 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.766 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.650 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.671 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.703 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.714 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.561 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.622 total time=   0.1s

[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.731 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.665 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.695 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.682 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.728 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.642 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.447 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.713 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.680 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.702 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.464 total time=   0.0s

[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.642 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.683 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.697 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.723 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.596 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.585 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.555 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.615 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.400 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.587 total time=   0.0s

[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.647 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.565 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.688 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.632 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.614 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.688 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.669 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.378 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.573 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.939 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.981 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.927 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.936 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.673 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.623 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.679 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.662 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.669 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.562 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.662 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.554 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.590 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.658 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.584 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.652 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.543 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.595 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.630 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.601 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.547 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.926 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.937 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.621 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.561 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.644 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.537 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.933 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.950 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.893 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.869 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.938 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.914 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s

[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.967 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.981 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.983 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.982 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.903 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.913 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.970 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.908 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.949 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.916 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.758 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.839 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.853 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.889 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.869 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.778 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.836 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.799 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.768 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.831 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.824 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.847 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.858 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.865 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.911 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.829 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.915 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.975 total time=   0.1s

[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.933 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.938 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.874 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.890 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.783 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.823 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.819 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.827 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.894 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.847 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.870 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.851 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.823 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.910 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.956 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.898 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.898 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.890 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.853 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.844 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.881 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.853 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.856 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.863 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.814 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.838 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.822 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.821 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.827 total time=   0.1s

[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.848 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.954 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.838 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.851 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.879 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.889 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.855 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.886 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.863 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.928 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.841 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.905 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.872 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.881 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.823 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.804 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.816 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.751 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.824 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.783 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.763 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.762 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.799 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.802 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.872 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.781 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.850 total time=   0.1s

[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.876 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.854 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.863 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.782 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.784 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.760 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.761 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.823 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.796 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.734 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.819 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.750 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.801 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.784 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.796 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.605 total time=   0.0s

[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.877 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.859 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.800 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.840 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.688 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.735 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.765 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.710 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.709 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.779 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.752 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.740 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.718 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.641 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.765 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.671 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.758 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.786 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.733 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.750 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.739 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.749 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.747 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.631 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.721 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.641 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.484 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.737 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.799 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.805 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.809 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.675 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.727 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.800 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.770 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.783 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.647 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.773 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.811 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.709 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.779 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.763 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.722 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.699 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.715 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.751 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.720 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.683 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.628 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.697 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.734 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.709 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.707 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.554 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.612 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.547 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.639 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.653 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.661 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.687 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.631 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.613 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.405 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.654 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.642 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.627 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.642 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.616 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.769 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.706 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.782 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.692 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.721 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.706 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.681 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.701 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.653 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.733 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.715 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.743 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.746 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.737 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.711 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.687 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.693 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.724 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.603 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.634 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.686 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.582 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.704 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.693 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.645 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.739 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.734 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.728 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.683 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.691 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.696 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.715 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.674 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.580 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.643 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.614 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.671 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.707 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.569 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.586 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.690 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.562 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.656 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.679 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.677 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.700 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.683 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.701 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.542 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.699 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.668 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.616 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.693 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.522 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.588 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.551 total time=   0.1s
[CV 2/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.632 total time=   0.1s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.616 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.678 total time=   0.1s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.569 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.689 total time=   0.1s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.591 total time=   0.1s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.1s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.614 total time=   0.1s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.1s
[CV 4/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.610 total time=   0.1s
[CV 6/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=18, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
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[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.908 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.906 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.912 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.925 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.782 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.822 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.929 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.925 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.874 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.843 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.937 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.843 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.909 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.860 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.877 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.759 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.818 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.791 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.845 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.830 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.844 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.890 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=18, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.896 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.879 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.942 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.892 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.0s

[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.948 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.946 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.892 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.910 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.865 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.871 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.836 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.898 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.923 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.937 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.935 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.945 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.798 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.844 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.841 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.791 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.859 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.773 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.822 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.836 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.785 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.699 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.702 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.769 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.728 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.752 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.711 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.853 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.733 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.753 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.754 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.352 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.886 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.798 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.842 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.831 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.626 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.283 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.710 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.700 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.856 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.763 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.838 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.680 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.659 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.714 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.672 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.724 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.406 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.391 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.370 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.386 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.310 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.412 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.392 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.339 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.420 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.360 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.345 total time=   0.0s

[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.778 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.783 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.863 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.797 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.666 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.704 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.690 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.702 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.601 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.652 total time=   0.0s

[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.356 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.415 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.244 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.123 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.438 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.333 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.532 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.383 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.315 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.405 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.317 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.308 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.228 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.392 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.239 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.444 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.166 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.376 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.415 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.279 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.264 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.416 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.368 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.381 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.437 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.420 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.487 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.384 total time=   0.0s

[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.330 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.560 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.485 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.577 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.601 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.581 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.382 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.544 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.514 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.457 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.388 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.492 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.663 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.590 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.517 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.549 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.514 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.365 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.306 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.480 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.434 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.518 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.523 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.460 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.489 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.465 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.528 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.172 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.190 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.314 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.192 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.474 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.415 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.344 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.519 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.453 total time=   0.0s

[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.273 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.277 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.399 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.404 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.464 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.415 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.364 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.409 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.314 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.254 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.267 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.315 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.296 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.209 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.385 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.543 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.172 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.322 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.255 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.219 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.278 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.353 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.192 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.325 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.410 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.347 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.476 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.278 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.336 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.247 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.343 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.302 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.369 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.252 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.268 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.223 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.390 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.398 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.300 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.353 total time=   0.0s

[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.319 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.523 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.525 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.547 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.463 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.532 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.390 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.477 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.309 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.334 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.374 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.365 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.325 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.317 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.382 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.511 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.432 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.366 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.428 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.388 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.352 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.357 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.385 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.375 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.401 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.433 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.385 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.424 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.479 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.556 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.503 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.467 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.549 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.535 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.385 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.489 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.359 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.487 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.388 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.296 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.400 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.362 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.416 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.410 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.329 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.332 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.327 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.440 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.344 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.364 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.470 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.489 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.380 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.322 total time=   0.0s

[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.289 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.219 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.202 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.402 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.316 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.213 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.455 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.382 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.384 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.334 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.366 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.178 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.170 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.275 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.344 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.477 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.989 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.969 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.871 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.928 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s

[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.442 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.477 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.472 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.454 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.389 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.314 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.438 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.476 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.282 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.460 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.424 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.457 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.363 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.440 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.441 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.365 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.403 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.335 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.988 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.989 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.325 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.379 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.407 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.417 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.426 total time=   0.0s

[CV 1/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.893 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.921 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.952 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.963 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.884 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.786 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.392 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.230 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.957 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.907 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.870 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.889 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.599 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.783 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.0s

[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.858 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.881 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.946 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.892 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.833 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.850 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.848 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.898 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.865 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.908 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.875 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.883 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.837 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.814 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.787 total time=   0.1s

[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.888 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.870 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.853 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.834 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.840 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.846 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.785 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.781 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.797 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.779 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.772 total time=   0.1s

[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.819 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.812 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.859 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.844 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.863 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.759 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.769 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.794 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.848 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.824 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.786 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.692 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.733 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.728 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.721 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.715 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.720 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.744 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.579 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.745 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.820 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.837 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.822 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.821 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.791 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.759 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.683 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.717 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.747 total time=   0.0s

[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.760 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.774 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.665 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.736 total time=   0.0s

[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.449 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.495 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.368 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.415 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.339 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.425 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.601 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.651 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.620 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.633 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.778 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.700 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.576 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.573 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.666 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.601 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.668 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.684 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.631 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.694 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.665 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.570 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.647 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.603 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.665 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.632 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.349 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.585 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.538 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.525 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.397 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.324 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.548 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.423 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.421 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.318 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.419 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.499 total time=   0.0s

[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.605 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.593 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.658 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.620 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.665 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.583 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.584 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.416 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.546 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.396 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.549 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.566 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.579 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s

[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.546 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.573 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.971 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.969 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.929 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.906 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.860 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.816 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.846 total time=   0.0s

[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.361 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.971 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.874 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s

[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.927 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.952 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.915 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.882 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.868 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.687 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.743 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.837 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.850 total time=   0.0s

[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.784 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.827 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.773 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.841 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.861 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.855 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.824 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.852 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.890 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.843 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.861 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.779 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.824 total time=   0.0s

[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.923 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.850 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.880 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.925 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.855 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.770 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.871 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.810 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.840 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.723 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.810 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.931 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.872 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.776 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.845 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.812 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.807 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.777 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.786 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.797 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.788 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.799 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.826 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.722 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.819 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.801 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.811 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.810 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.800 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.809 total time=   0.0s

[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.743 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.766 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.741 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.759 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.752 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.652 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.816 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.774 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.836 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.811 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.700 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.775 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.548 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.580 total time=   0.0s

[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.820 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.770 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.759 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.728 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.682 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.770 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.741 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.757 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.753 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.647 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.698 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.696 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.696 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.728 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.724 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.760 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.753 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.709 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.707 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.690 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.631 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.659 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.522 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.735 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.717 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.733 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.517 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.571 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.666 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.446 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.459 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.697 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.574 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.498 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.498 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.483 total time=   0.0s

[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.578 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.456 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s

[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.656 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.642 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.573 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.569 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.604 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.611 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.660 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.974 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.566 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.984 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.945 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.651 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.607 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.604 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.652 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.585 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.304 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s

[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.948 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.641 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.577 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.982 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.894 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.933 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.981 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.958 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.916 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s

[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.902 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.912 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.950 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.911 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.912 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.929 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.932 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.849 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.863 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.864 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.905 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.980 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.963 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.964 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.912 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.882 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.867 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.869 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.879 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.866 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.846 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.939 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.889 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.900 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.903 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.887 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.942 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.766 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.791 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.881 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s

[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.723 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.844 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.802 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.864 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.801 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.890 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.860 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.931 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.875 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.915 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.845 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.927 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.851 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.890 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.867 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.801 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.809 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.759 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.659 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.787 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.820 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.769 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.768 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.809 total time=   0.1s

[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.828 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.782 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.786 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.792 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.808 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.858 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.752 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.789 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.822 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.704 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.765 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.802 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.758 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.737 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.749 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.808 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.693 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.862 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.858 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.898 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.845 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.848 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.729 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.829 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.842 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.854 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.792 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.855 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.753 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.770 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.737 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.712 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.510 total time=   0.0s

[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.802 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.811 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.837 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.877 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.791 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.817 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.834 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.852 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.836 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.713 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.778 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.736 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.694 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.666 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.714 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.682 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.753 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.613 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.773 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.787 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.823 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.807 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.788 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.745 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.763 total time=   0.0s

[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.658 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.738 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.543 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.586 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.519 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.360 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.581 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.654 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.589 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.692 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.730 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.727 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.749 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.712 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.707 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.701 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.710 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.696 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.617 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.568 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.665 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.655 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.686 total time=   0.0s

[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.638 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.755 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.686 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.678 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.693 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.602 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.633 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.637 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.477 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s

[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.648 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.637 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.659 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.538 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.447 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.516 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.616 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.565 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.556 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.619 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.669 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.982 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.645 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.672 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.699 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.587 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.656 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.690 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.621 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.647 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.605 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.579 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.555 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.644 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.680 total time=   0.1s

[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.572 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.578 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.486 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.554 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.579 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.584 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.640 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.578 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.589 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.626 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.512 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.633 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.971 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.898 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.905 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.902 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.944 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.815 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.870 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.906 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.924 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.889 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.913 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.957 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.626 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.973 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.987 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.921 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.948 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.967 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.916 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.913 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.900 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.697 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.671 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.684 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.615 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.569 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.634 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.880 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.956 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.935 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s

[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.906 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.869 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.941 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.811 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.933 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.854 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.889 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.910 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.907 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.921 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.944 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.919 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.844 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.887 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.864 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.847 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.786 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.792 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.837 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.891 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.774 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.819 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.822 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.784 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.836 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.814 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.846 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.771 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.805 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.884 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.751 total time=   0.1s

[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.853 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.810 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.853 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.865 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.863 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.713 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.743 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.773 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.745 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.718 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.677 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.711 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.926 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.962 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.892 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.919 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.930 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.878 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.883 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.920 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.847 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.883 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.874 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.841 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.830 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.896 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.856 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.815 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.814 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.772 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.832 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.790 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.793 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.808 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.771 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.755 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.775 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.780 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.825 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.796 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.781 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.780 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.768 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.788 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.852 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.894 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.883 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s

[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.745 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.723 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.781 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.816 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.824 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.864 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.890 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.858 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.810 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.866 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.853 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.815 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.894 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.779 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.751 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.766 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.706 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.817 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.812 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.805 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.802 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.751 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.678 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.760 total time=   0.0s

[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.717 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.785 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.710 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.761 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.703 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.720 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.660 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.733 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.771 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.726 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.753 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.554 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.617 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.679 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.718 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.658 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.424 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.613 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.715 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.710 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.643 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.717 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.460 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.731 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.720 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.561 total time=   0.0s

[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.629 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.761 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.718 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.737 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.679 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.664 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.770 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.778 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.696 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.725 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.748 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.701 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.721 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.641 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.703 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.618 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.697 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.837 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.777 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.649 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.746 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.801 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.760 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.773 total time=   0.1s

[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.760 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.706 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.675 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.615 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.746 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.669 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.670 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.612 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.759 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.658 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.740 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.683 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.643 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.675 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.659 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.699 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.631 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.711 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.679 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.659 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.605 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.685 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.631 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.656 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.578 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.604 total time=   0.0s

[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.599 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.740 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.525 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.611 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.598 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.663 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.664 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.626 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.646 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.627 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.720 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.665 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.705 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.506 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.464 total time=   0.0s

[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.508 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.577 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.365 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.668 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.603 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.664 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.582 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.563 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.703 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.715 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.694 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.644 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.598 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.558 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.610 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.674 total time=   0.1s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.678 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.631 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.685 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.613 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.637 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.596 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.570 total time=   0.1s
[CV 1/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.577 total time=   0.1s
[CV 2/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.613 total time=   0.1s
[CV 3/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.585 total time=   0.1s
[CV 4/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.652 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.658 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.1s
[CV 8/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.663 total time=   0.1s
[CV 9/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=20, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.605 total time=   0.1s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.940 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.880 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.876 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.925 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.855 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.846 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.869 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.874 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.880 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.679 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s

[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.938 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.927 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.903 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.923 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.892 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.906 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.900 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.769 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.723 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.894 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.932 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.927 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.876 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.890 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.849 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.876 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.917 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.860 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.854 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.829 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.880 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.812 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.865 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.586 total time=   0.0s

[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=20, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.942 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.873 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.826 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.867 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.932 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.850 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.864 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.810 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.787 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.644 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.798 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.753 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.783 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.743 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.723 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.755 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.324 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.115 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.383 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.156 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.684 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.340 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.439 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.301 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.777 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.855 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.867 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.826 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.778 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.715 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.718 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.680 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.743 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.673 total time=   0.0s

[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.756 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.667 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.570 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.733 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.771 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.567 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.558 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.770 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.688 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.663 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.686 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.690 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.640 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.340 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.211 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.435 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.150 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.502 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.464 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.342 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.324 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.454 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.557 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.416 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.418 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.317 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.279 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.397 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.376 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.397 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.413 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.334 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.299 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.351 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.355 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.306 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.442 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.273 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.348 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.285 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.518 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.436 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.493 total time=   0.0s

[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.499 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.498 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.376 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.528 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.444 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.540 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.354 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.470 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.458 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.401 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.386 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.429 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.596 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.194 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.479 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.441 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.495 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.385 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.447 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.468 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.465 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.443 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.472 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.550 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.289 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.269 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.368 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.444 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.139 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.300 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.276 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.286 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.273 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.368 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.244 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.203 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.273 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.174 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.331 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.415 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.467 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.373 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.314 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.326 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.267 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.360 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.363 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.417 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.234 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.212 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.286 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.347 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.298 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.316 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.297 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.246 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.171 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.201 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.332 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.383 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.266 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.394 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.341 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.371 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.477 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.265 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.311 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.476 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.445 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.467 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.464 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.284 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.379 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.403 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.519 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.375 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.388 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.342 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.466 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.387 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.377 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.349 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.352 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.367 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.445 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.402 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.393 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.320 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.451 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.229 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.384 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.444 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.373 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.411 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.464 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.413 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.366 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.306 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.326 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.454 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.459 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.430 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.434 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s

[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.439 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.369 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.368 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.348 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.378 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.468 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.274 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.477 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.403 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.426 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.470 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.292 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.225 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.306 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.184 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.306 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.271 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.329 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.283 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.408 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.373 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.447 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.0s

[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.258 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.342 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.422 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.325 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.216 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.361 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.229 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.230 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.397 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.332 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.207 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.310 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.345 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.433 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.349 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.788 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.850 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.927 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.908 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.521 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.421 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.367 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.449 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.413 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.433 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.470 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.272 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.225 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.164 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.288 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.986 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.939 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.864 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.872 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.899 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.880 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s

[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.923 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.929 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.831 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.819 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.801 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.761 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.765 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.781 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.712 total time=   0.0s

[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.948 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.858 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.876 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.843 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.820 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.818 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.838 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.771 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.821 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.855 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.871 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.872 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.893 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.827 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.744 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.852 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.845 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.815 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.869 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.830 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.797 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.822 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.797 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.797 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.763 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.787 total time=   0.1s

[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.891 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.834 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.897 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.844 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.763 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.742 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.776 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.510 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.718 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.773 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.784 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.784 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.766 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.791 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.747 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.691 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.713 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.679 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.491 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.459 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.414 total time=   0.0s

[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.676 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.744 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.751 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.759 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.608 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.707 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.677 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.724 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.720 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.703 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.780 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.782 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.728 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.703 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.751 total time=   0.0s

[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.750 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.743 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.734 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.474 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.508 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.707 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.769 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.627 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.745 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.455 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.458 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.424 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.401 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.502 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.453 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.466 total time=   0.0s

[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.559 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.605 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.603 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.627 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.600 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.577 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.582 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.605 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.589 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.405 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.409 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.599 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.570 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.479 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.430 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.692 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.646 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.564 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.656 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.589 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.503 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.605 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.552 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.638 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.375 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.341 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.414 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.482 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.270 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.448 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.310 total time=   0.0s

[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.474 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.345 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.568 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.392 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.482 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.285 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.434 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.439 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.524 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.554 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.588 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.518 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.276 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.401 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.629 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.535 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.513 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.601 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.478 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.494 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.541 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.971 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.913 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.923 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.919 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.783 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.958 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.924 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.963 total time=   0.0s

[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.950 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.959 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.895 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.961 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.860 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.835 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.870 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.876 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.714 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.556 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.567 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.983 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.949 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.918 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.400 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.370 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.983 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.872 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.848 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.816 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.881 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.905 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.0s

[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.901 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.893 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.894 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.873 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.927 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.873 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.885 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.807 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.837 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.794 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.887 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.827 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.847 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.788 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.758 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.848 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.758 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.971 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.918 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.867 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.880 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.855 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.832 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.848 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.846 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.868 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.856 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.897 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.828 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.744 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.782 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.781 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.823 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.631 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.769 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.693 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.688 total time=   0.0s

[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.693 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.877 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.930 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.845 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.850 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.815 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.895 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.824 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.796 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.789 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.786 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.814 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.698 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.703 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.701 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.774 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.791 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.699 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.728 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.768 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.507 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.699 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.509 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.596 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.614 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.661 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.556 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.708 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.770 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.696 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.682 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.661 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.657 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.735 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.582 total time=   0.0s

[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.780 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.698 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.790 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.724 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.765 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.719 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.672 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.628 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.663 total time=   0.0s

[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.540 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.666 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.677 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.732 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.750 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.756 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.729 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.698 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.581 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.665 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.670 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.698 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.591 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.530 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.430 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.468 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.484 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.539 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.575 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.985 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s

[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.432 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.468 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.413 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.288 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.574 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.619 total time=   0.1s

[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.616 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.555 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.591 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.621 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.660 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.536 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.574 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.651 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.549 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.608 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.591 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.564 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.625 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.576 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.590 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.655 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.534 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.628 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.644 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.464 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.553 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.989 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.911 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.884 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.859 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.969 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.888 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.914 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.971 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.906 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.900 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.905 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.844 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.908 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.815 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.794 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.505 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.976 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.931 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.987 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.920 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.870 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.940 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.917 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.883 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.935 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.907 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.1s

[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.906 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.977 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.924 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.964 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.975 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.922 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.959 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.891 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.815 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.847 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.908 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.934 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.884 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.925 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.730 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.783 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.823 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.861 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.802 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.807 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.924 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.920 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.920 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.926 total time=   0.1s

[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.961 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.810 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.833 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.860 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.828 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.891 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.836 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.773 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.739 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.760 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.845 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.844 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.767 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.822 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.873 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.839 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.745 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.836 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.856 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.812 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.875 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.869 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.881 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.910 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.892 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.904 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.836 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.809 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.795 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.774 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.798 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.833 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.807 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.823 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.757 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.825 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.829 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.874 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.882 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.912 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.855 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.853 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.856 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.894 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.849 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.837 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.782 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.794 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.865 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.792 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.883 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.855 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.710 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.799 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.752 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.893 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.841 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.869 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.765 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.756 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.769 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.790 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.735 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.730 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.773 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.822 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.740 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.776 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.690 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.774 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.764 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.801 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.733 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.781 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.737 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.692 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.580 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.517 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.759 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.819 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.794 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.799 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.815 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.750 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.789 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.805 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.805 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.801 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.777 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.674 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.748 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.698 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.766 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.751 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.746 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.699 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.719 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.557 total time=   0.1s

[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.759 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.636 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.614 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.661 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.512 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.626 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.755 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.1s

[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.743 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.753 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.683 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.691 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.754 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.749 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.798 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.741 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.724 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.749 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.674 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.643 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.730 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.715 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.697 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.656 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.684 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.613 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.650 total time=   0.0s

[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.663 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.591 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.630 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.469 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.697 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.687 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.635 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.450 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.348 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.315 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.527 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.525 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.602 total time=   0.0s

[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.464 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.642 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.570 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.586 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.682 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.656 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.639 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.650 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.633 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.692 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.550 total time=   0.0s

[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.663 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.684 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.586 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.672 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.624 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.601 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.618 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.584 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.604 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.664 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.653 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.682 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.692 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.591 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.986 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.986 total time=   0.1s

[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.618 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.610 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.569 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.552 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.659 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.614 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.663 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.362 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.894 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.930 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.965 total time=   0.0s

[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.985 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.845 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.936 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.853 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.855 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.912 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.944 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.642 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.608 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.987 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.951 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.967 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.924 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.883 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.869 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.855 total time=   0.0s

[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.870 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.985 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.970 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.926 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.928 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.915 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.888 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.882 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.909 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.921 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.897 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.771 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.763 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.776 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.818 total time=   0.1s

[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.946 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.897 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.885 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.813 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.850 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.935 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.855 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.885 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.895 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.914 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.846 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.905 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.863 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.767 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.787 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.831 total time=   0.0s

[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.920 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.816 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.728 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.842 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.879 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.910 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.913 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.848 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.865 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.891 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.822 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.842 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.806 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.851 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.841 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.835 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.857 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.791 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.744 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.828 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.784 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.890 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.897 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.911 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.850 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.839 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.860 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.854 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.884 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.0s

[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.891 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.881 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.865 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.882 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.876 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.826 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.865 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.913 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.858 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.870 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.720 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.733 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.837 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.790 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.749 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.800 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.830 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.846 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.722 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.779 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.736 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.803 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.867 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.765 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.783 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.766 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.818 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.808 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.804 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.766 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.784 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.808 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.821 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.861 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.779 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.829 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.819 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.839 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.799 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.815 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.786 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.746 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.767 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.723 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.550 total time=   0.0s

[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.817 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.790 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.892 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.834 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.689 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.718 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.777 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.811 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.761 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.795 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.771 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.724 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.726 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.807 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.787 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.853 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.753 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.773 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.799 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.716 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.687 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.777 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.737 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.669 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s

[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.726 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.813 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.734 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.725 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.736 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.604 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.632 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.635 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.743 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.746 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.715 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.733 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.703 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.719 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.732 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.449 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.668 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.699 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.632 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.652 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.710 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.668 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.775 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.819 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.791 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.761 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.773 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.671 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.698 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.773 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.758 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.783 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.789 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.721 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.776 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.658 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.632 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.651 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.721 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.699 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.491 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.613 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.669 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.725 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.783 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.751 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.769 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.710 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.707 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.520 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.450 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.628 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.746 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.630 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.687 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.461 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.703 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.679 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.570 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.573 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.644 total time=   0.0s

[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.429 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.540 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.518 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.633 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.645 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.595 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.708 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.671 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.581 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.686 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.603 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.576 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.654 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.701 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.714 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.670 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.619 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.669 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.605 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.678 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.633 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.688 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.603 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.579 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.650 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.444 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.601 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.540 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.493 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.670 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.685 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.599 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.631 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.611 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.661 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.599 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.598 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.662 total time=   0.1s

[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.697 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.593 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.670 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.542 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.584 total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.639 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.0s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.572 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.631 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.657 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.547 total time=   0.1s
[CV 6/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.595 total time=   0.1s
[CV 8/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.680 total time=   0.1s
[CV 9/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.539 total time=   0.1s
[CV 10/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.534 total time=   0.1s
[CV 2/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.1s
[CV 3/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.644 total time=   0.1s
[CV 4/10] END max_depth=22, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.663 total time=   0.1s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.1s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.969 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.799 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.807 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.847 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.870 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.826 total time=   0.0s

[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.932 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.933 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.890 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.919 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.933 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.870 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.888 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.906 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.900 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.913 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.917 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.848 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.786 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.693 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.798 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.890 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.937 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.774 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.911 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.909 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.895 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.812 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.839 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.869 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.818 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.873 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.850 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.760 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=22, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.910 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.878 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.875 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.912 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.890 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.868 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.839 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.807 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.844 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.868 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.767 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.738 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.816 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.827 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.603 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.659 total time=   0.0s

[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.788 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.763 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.866 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.777 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.727 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.638 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.533 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.701 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.772 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.757 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.599 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.491 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.647 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.664 total time=   0.1s

[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.544 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.465 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.498 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.678 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.691 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.719 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.699 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.435 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.261 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.544 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.375 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.214 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.425 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.333 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.459 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.470 total time=   0.0s

[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.735 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.793 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.736 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.375 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.504 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.479 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.644 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.536 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.408 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.537 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.644 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.692 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.652 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.336 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.515 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.555 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.393 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.427 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.535 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.474 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.487 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.562 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.319 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.270 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.463 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.298 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.611 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.179 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.484 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.333 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.324 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.353 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.258 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.282 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.299 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.446 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.481 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.558 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.569 total time=   0.0s

[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.321 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.483 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.252 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.239 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.430 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.335 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.442 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.317 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.444 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.517 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.263 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.251 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.371 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.289 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.520 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.340 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.517 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.206 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.426 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.428 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.379 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.333 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.244 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.279 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.129 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.248 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.306 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.356 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.246 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.383 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.160 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.408 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.564 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.344 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.444 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.556 total time=   0.0s

[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.245 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.500 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.475 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.540 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.462 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.570 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.416 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.440 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.495 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.113 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.161 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.319 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.242 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.335 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.394 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.346 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.431 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.443 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.468 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.449 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.479 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.368 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.339 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.276 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.239 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.343 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.304 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.217 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.282 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.487 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.468 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.539 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.380 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.478 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.394 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.426 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.486 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.449 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.332 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.475 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.434 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.499 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.434 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.437 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.558 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.461 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.555 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.417 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.227 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.072 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.302 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.501 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.382 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.395 total time=   0.2s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.451 total time=   0.0s

[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.514 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.383 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.366 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.597 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.508 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.489 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.491 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.461 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.447 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.419 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.248 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.344 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.316 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.039 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.496 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.334 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.494 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.378 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.461 total time=   0.0s

[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.425 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.229 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.445 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.391 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.503 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.307 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.361 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.410 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.362 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.279 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.274 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.321 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.186 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.444 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.455 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.420 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.426 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.408 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.453 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.450 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.552 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.364 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.317 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.320 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.308 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.411 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.386 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.469 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.344 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.480 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.392 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.369 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.473 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.380 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.402 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.230 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.346 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.382 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.389 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.172 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.167 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.275 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.284 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.263 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.292 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.200 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.291 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.250 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.298 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.425 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.383 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.348 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.440 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.434 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.894 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.939 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.838 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.924 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.914 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.926 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.0s

[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.349 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.463 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.376 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.329 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.222 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.326 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.253 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.381 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.218 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.301 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.350 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.391 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.223 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.329 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.290 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.201 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.220 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.401 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.456 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.410 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.319 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.402 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.409 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.443 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.434 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.952 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.983 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s

[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.452 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.397 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.290 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.156 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.345 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.390 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.495 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.409 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.364 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.390 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.234 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.986 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.894 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.901 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.921 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.927 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.885 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.886 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.866 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.392 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.458 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.445 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.451 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.921 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.929 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.964 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.901 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.814 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.858 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.865 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.848 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.817 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.862 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.920 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.874 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.938 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.720 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.728 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.769 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.872 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.838 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.873 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.836 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.802 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.785 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.617 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.716 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.773 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.836 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.834 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.826 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.974 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.790 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.940 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.898 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.847 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.845 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.853 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.847 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.809 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.870 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.741 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.721 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.756 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.757 total time=   0.0s

[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.699 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.841 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.785 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.777 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.792 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.589 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.718 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.713 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.765 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.759 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.596 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.788 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.731 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.733 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.505 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.720 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.690 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.691 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.664 total time=   0.0s

[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.757 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.777 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.751 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.808 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.777 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.769 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.809 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.793 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.798 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.685 total time=   0.0s

[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.816 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.787 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.813 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.860 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.828 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.759 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.731 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.718 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.762 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.758 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.663 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.669 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.672 total time=   0.1s

[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.647 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.761 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.767 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.850 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.738 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.642 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.697 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.486 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.612 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.643 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.603 total time=   0.1s

[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.631 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.736 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.691 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.624 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.639 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.651 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.635 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.472 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.502 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.416 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.604 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.601 total time=   0.2s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.599 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.568 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.614 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.414 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.520 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.527 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.410 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.588 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.618 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.404 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.430 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.467 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.457 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.585 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.359 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.565 total time=   0.0s

[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.495 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.408 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.424 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.630 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.424 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.473 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.526 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.583 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.642 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.613 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.574 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.658 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.605 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.645 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.704 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.521 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.564 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.673 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.632 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.659 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.463 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.548 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.543 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.596 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.542 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.647 total time=   0.0s

[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.533 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.551 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.598 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.574 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.573 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.638 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.658 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.469 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.511 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.494 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.573 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.537 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.588 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.568 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.527 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.520 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.596 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.501 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.550 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.533 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.528 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.571 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.510 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.338 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.372 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.477 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.387 total time=   0.0s

[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.530 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.556 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.490 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.320 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.438 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.403 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.307 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.470 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.438 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.540 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.973 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.988 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.950 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.480 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.430 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.582 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.596 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.496 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.536 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.568 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.0s

[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.427 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.937 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.914 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.900 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.805 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.547 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.651 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.556 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.607 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.330 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.555 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.552 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.974 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.932 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.943 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.934 total time=   0.0s

[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.551 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.925 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.969 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.742 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.831 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.815 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.867 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.888 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s

[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.849 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.910 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.898 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.853 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.856 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.915 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.921 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.835 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.862 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.866 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.884 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.953 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.888 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.770 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.797 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.818 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.845 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.720 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.934 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.897 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.889 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.742 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.791 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.908 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.897 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.948 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.797 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.870 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.824 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.737 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.744 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.809 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.908 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.921 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.840 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.888 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.871 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.914 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.868 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.886 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.840 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.820 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.855 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.840 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.867 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.867 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.857 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.707 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.775 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.791 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.838 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.791 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.761 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.834 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.735 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.784 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.785 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.824 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.867 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.819 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.847 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.818 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.872 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.808 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.838 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.837 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.765 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.723 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.817 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.775 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.735 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.762 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.721 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.724 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.749 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.593 total time=   0.0s

[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.468 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.794 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.611 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.609 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.744 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.788 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.594 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.766 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.576 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.719 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.705 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.768 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.713 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.770 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.745 total time=   0.1s

[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.789 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.734 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.758 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.810 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.834 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.848 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.830 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.843 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.797 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.768 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.687 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.631 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.745 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.618 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.664 total time=   0.0s

[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.654 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.795 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.831 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.730 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.781 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.721 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.773 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.763 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.763 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.711 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.734 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.683 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.728 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.654 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.731 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.751 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.709 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.703 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.507 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.512 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.666 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.701 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.465 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.741 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.769 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.698 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.721 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.727 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.537 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.575 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.719 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.436 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.524 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.623 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.617 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.531 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.508 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.422 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.615 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.626 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.691 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.627 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.718 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.660 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.586 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.710 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.649 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.500 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.414 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.551 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.691 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.754 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.702 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.667 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.757 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.562 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.639 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.594 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.556 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.430 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.464 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.479 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.582 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.614 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.655 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.476 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.497 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.505 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.309 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.501 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.587 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.627 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.661 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.549 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.530 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.492 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.598 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.623 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.548 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.1s

[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.965 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.697 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.619 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.628 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.641 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.647 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.580 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.600 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.959 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.979 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.582 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.611 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.594 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.422 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.386 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.440 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.413 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.661 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.570 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.880 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.922 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.926 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.574 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.558 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.558 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.931 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.867 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.839 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.929 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.969 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.830 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.937 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.970 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.971 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.936 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.815 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.838 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.837 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.909 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.821 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.836 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.890 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.861 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.873 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.789 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.860 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.904 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.832 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.867 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.857 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.849 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.852 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.625 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.968 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.919 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.934 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.946 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.883 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.893 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.898 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.897 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.823 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.872 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.920 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.895 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.807 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.947 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.912 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s

[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.895 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.854 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.785 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.822 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.811 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.892 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.883 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.860 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.806 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.838 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.826 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.853 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.746 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.773 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.853 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.838 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.805 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.835 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.905 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.913 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.921 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.907 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.903 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.867 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.852 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.900 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.929 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.848 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.890 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.937 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.914 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.847 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.835 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.839 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.836 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.865 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.867 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.849 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.769 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.876 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.776 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.854 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.847 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.845 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s

[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.742 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.741 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.749 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.824 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.872 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.765 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.841 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.783 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.802 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.842 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.792 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.786 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.796 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.743 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.806 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.802 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.735 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.810 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.764 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.750 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.806 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.600 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.743 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.704 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.708 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.529 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.602 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.684 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.688 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.806 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.766 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.712 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.761 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.662 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.801 total time=   0.0s

[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.657 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.623 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.757 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.771 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.834 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.802 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.845 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.765 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.797 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.786 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.703 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.742 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.777 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.767 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.774 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.690 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.732 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.694 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.631 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.668 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.714 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.715 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.716 total time=   0.1s

[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.746 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.789 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.734 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.701 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.797 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.829 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.743 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.688 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.822 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.771 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.760 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.726 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.699 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.664 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.672 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.750 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.734 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.773 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.677 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.619 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.645 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.540 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.572 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.701 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.677 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.722 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.514 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.678 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.745 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.654 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.683 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.648 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.434 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.594 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.487 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.471 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.539 total time=   0.0s

[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.739 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.741 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.714 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.665 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.752 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.774 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.715 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.649 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.726 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.627 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.654 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.680 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.729 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.596 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.602 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.670 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.714 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.637 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.687 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.559 total time=   0.0s

[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.619 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.604 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.684 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.748 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.678 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.625 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.679 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.696 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.657 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.660 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.648 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.579 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.663 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.436 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.474 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.546 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.989 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.985 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s

[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.684 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.579 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.656 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.643 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.468 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.513 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.629 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.982 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.636 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.661 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.660 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.623 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.907 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.951 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.926 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.924 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.896 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.887 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.790 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.486 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.389 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.558 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.347 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.552 total time=   0.0s

[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.526 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.664 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.519 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.651 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.646 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.927 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.939 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.931 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.928 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.886 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.835 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.835 total time=   0.0s

[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.908 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.849 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.884 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.858 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.834 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.897 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.767 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.822 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.893 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.853 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.910 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.883 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.849 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.836 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.880 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.884 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.900 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.846 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.791 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.798 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.971 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.982 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.983 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.941 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.927 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.914 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.913 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.914 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.913 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.903 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.911 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.880 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.889 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.910 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.929 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.884 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.889 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.885 total time=   0.1s

[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.982 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.928 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.917 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.949 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.842 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.872 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.847 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.904 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.904 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.931 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.913 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.784 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.822 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.861 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.844 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.913 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.817 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.1s

[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.863 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.960 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.899 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.956 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.847 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.857 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.880 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.866 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.874 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.902 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.851 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.922 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.885 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.785 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.849 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.794 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.774 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.832 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.780 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.799 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.770 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.805 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.852 total time=   0.0s

[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.786 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.798 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.839 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.857 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.814 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.665 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.792 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.820 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.823 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.799 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.826 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.685 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.732 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.730 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.676 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.633 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.615 total time=   0.0s

[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.912 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.813 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.890 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.850 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.808 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.874 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.816 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.862 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.831 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.803 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.888 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.791 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.877 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.789 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.737 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.704 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.690 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.760 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.735 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.810 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.769 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.750 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.712 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.735 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.732 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.829 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.855 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.813 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.867 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.924 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.820 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.749 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.728 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.790 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.768 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.755 total time=   0.0s

[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.804 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.738 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.830 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.822 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.781 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.712 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.762 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.812 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.747 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.698 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.727 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.814 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.778 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.745 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.797 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.703 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.783 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.743 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.721 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.607 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.648 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.752 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.667 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.627 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.755 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.762 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.820 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.787 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.833 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.814 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.761 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.851 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.624 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.704 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.709 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.815 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.728 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.796 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.724 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.732 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.684 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.654 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.747 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.716 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.794 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.669 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.744 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.752 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.737 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.647 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.681 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.756 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.742 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.767 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.717 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.744 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.719 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.719 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.680 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.699 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.738 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.649 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.729 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.655 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.654 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.724 total time=   0.1s

[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.752 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.672 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.694 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.702 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.711 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.676 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.661 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.561 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.689 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.650 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.569 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.753 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.544 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.666 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.645 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.662 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.728 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.646 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.741 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.632 total time=   0.0s

[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.636 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.677 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.685 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.640 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.775 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.679 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.606 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.678 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.697 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.688 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.426 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.551 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.620 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.611 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.477 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.599 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.679 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.628 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.697 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.720 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.627 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.714 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.557 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.517 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.610 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.681 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.595 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.651 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.647 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.709 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.520 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.537 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.570 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.644 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.684 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.670 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.683 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.586 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.600 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.604 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.673 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.632 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.671 total time=   0.1s

[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.604 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.662 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.696 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.573 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.497 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.517 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.590 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.635 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.627 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.672 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.643 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.635 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.556 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.537 total time=   0.1s
[CV 2/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.614 total time=   0.1s
[CV 3/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.627 total time=   0.1s
[CV 4/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.598 total time=   0.1s
[CV 6/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.619 total time=   0.1s
[CV 8/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.681 total time=   0.1s
[CV 9/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.620 total time=   0.1s
[CV 10/10] END max_depth=24, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.620 total time=   0.1s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.1s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.937 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.879 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.892 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.788 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.871 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.897 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.696 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.756 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.738 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.816 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.681 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.742 total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.927 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.723 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.869 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.831 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.898 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.840 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.895 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.882 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.901 total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.866 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.852 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.886 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.804 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.889 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.927 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.937 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.816 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.734 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.728 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.832 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.889 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.816 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.809 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.810 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.761 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.776 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.725 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.798 total time=   0.0s
[CV 7/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=24, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=24, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.885 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.890 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s

[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.923 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.918 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.885 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.900 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.868 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.927 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.852 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.873 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.866 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.808 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.534 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.758 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.747 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.719 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.624 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.516 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.450 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.476 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.508 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.524 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.419 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.534 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.642 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.448 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.353 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.373 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.434 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.333 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.386 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.401 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.453 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.594 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.392 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.523 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.202 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.339 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.365 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.298 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.472 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.408 total time=   0.0s

[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.860 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.840 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.913 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.835 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.893 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.842 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.861 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.796 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.858 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.804 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.774 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.413 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.434 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.675 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.637 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.626 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.547 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.618 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.620 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.419 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.623 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.493 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.464 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.829 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.780 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.708 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.720 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.467 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.577 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.392 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.385 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.543 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.537 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.520 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.501 total time=   0.0s

[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.683 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.768 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.745 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.705 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.750 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.673 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.658 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.477 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.465 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.533 total time=   0.0s

[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.291 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.395 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.443 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.123 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.172 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.462 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.297 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.488 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.609 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.587 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.050 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.485 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.299 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.347 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.457 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.226 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.123 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.492 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.631 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.544 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.560 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.256 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.260 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.441 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.358 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.274 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.375 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.480 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.309 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.439 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.479 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.433 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.533 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.467 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.489 total time=   0.0s

[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.562 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.662 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.444 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.614 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.559 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.537 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.517 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.527 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.209 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.410 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.336 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.286 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.287 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.312 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.481 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.368 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.415 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.192 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.454 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.335 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.354 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.247 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.330 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.424 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.179 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.258 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.267 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.457 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.291 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.429 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.383 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.241 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.247 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.061 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.332 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.360 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.418 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.480 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.405 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.587 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.577 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.330 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.233 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.384 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.502 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.471 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.479 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.455 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.399 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.484 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.511 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.570 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.509 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.513 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.455 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.525 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.336 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.542 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.590 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.363 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.524 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.460 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.375 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.493 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.510 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.448 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.598 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.560 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.474 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.308 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.339 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.332 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.437 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.487 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.363 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.412 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.484 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.416 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.414 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.442 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.481 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.441 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.397 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.434 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.529 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.494 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.482 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.408 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.423 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.426 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.446 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.353 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.406 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.469 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.468 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.463 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.364 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.370 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.483 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.534 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.481 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.413 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.437 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.402 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.435 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.490 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.432 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.397 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.384 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.281 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.379 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.351 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.514 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.375 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.444 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.374 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.483 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.454 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.149 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.353 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.303 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.343 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.405 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.310 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.336 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.325 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.377 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.234 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.237 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.306 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.360 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.420 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s

[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.223 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.282 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.328 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.239 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.147 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.288 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.260 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.337 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.462 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.224 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.430 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.483 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.228 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.234 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.299 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.347 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.102 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.377 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.438 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.439 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.386 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.432 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.378 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.162 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.314 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.201 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.374 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.295 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.419 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.451 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.354 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.431 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.309 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.387 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.284 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.312 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.324 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.185 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.440 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.380 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.963 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s

[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.952 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.325 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.423 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.493 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.318 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.443 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.487 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.460 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.413 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.406 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.419 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.440 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.430 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.406 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.504 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.546 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.473 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.432 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.379 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.258 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.298 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.352 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.381 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.335 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.449 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.452 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.486 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.333 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.414 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.420 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.326 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.407 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.360 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.477 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.343 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.405 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.406 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.369 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.345 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s

[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.436 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.353 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.485 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.477 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.380 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.422 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.476 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.400 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.458 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.450 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.403 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.480 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.408 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.417 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.414 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.398 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.433 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.327 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.458 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.383 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.429 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.320 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.456 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.387 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.386 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.359 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.418 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.453 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.408 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.404 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.970 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.970 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.913 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.0s

[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.913 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.900 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.866 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.869 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.804 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.919 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.908 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.898 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.908 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.918 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.918 total time=   0.1s

[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.967 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.890 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.883 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.937 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.899 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.705 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.815 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.868 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.866 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.861 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.844 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.802 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.666 total time=   0.0s

[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.973 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.845 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.836 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.852 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.855 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.892 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.891 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.875 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.880 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.890 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.897 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.766 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.836 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.819 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.721 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.774 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.753 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.805 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.778 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.796 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.879 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.825 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.882 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.857 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.835 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.837 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.843 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.855 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.859 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.895 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.700 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.845 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.747 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.727 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.723 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.771 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.838 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.759 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.737 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.785 total time=   0.0s

[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.833 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.872 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.809 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.784 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.804 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.848 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.789 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.831 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.751 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.814 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.785 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.666 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.778 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.424 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.492 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.534 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.763 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.810 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.791 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.772 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.720 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.762 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.817 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.750 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.745 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.708 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.695 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.394 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.450 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.492 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.526 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.553 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.489 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.503 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.836 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.796 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.839 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.848 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.737 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.566 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.560 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.774 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.736 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.545 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.652 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.673 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.636 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.685 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.746 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.729 total time=   0.1s

[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.766 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.800 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.764 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.622 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.681 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.680 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.619 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.675 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.631 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.548 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.534 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.609 total time=   0.0s

[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.602 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.653 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.657 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.685 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.716 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.663 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.719 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.709 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.756 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.687 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.689 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.632 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.639 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.651 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.448 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.714 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.724 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.696 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.698 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.681 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.588 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.630 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.648 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.614 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.559 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.495 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.509 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.463 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.574 total time=   0.0s

[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.550 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.498 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.639 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.464 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.489 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.629 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.400 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.501 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.356 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.374 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.388 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.518 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.478 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.346 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.471 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.432 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.530 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.556 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.539 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.531 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.532 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.466 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.541 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.620 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.429 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.511 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.529 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.573 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.970 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.966 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.943 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.401 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.493 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.657 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.528 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.615 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.566 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.287 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.221 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.398 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.305 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.349 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.367 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.416 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.447 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.534 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.558 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.1s

[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.557 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.544 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.586 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.402 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.356 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.509 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.347 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.445 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.271 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.426 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.572 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.890 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.963 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.358 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.440 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.474 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.514 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.601 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.613 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.563 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.608 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.515 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.498 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.480 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.574 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.555 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.923 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.926 total time=   0.0s

[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.971 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.905 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.949 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.891 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.913 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.849 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.867 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.904 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.848 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.871 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.750 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.690 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.732 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.757 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.759 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.830 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.806 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.815 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.760 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.743 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.783 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.850 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.774 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.806 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.559 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.952 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.877 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.933 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.921 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.890 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.961 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.931 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.920 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.911 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.952 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.947 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.913 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.799 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.823 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.833 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.848 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.817 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.842 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.831 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.890 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.900 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.937 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.781 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.861 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.893 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.863 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.722 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.810 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.869 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.853 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.909 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.869 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.906 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.973 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.971 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.870 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.925 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.910 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.906 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.880 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.694 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.715 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.832 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.732 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.672 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.764 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.815 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.881 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.861 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.854 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.897 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.819 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.866 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.882 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.797 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.813 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.820 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.708 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.656 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.810 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.846 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.794 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.796 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.787 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.626 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.643 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.724 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.669 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.716 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.662 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.717 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.401 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.656 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.779 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.824 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.843 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.777 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.845 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.788 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.831 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.772 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.782 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.784 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.827 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.844 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.711 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.774 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.678 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.723 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.662 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.726 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.636 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.672 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.703 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.712 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.866 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.798 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.832 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.806 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.810 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.805 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.732 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.798 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.755 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.714 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.752 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.790 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.780 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.806 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.756 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.686 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.769 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.745 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.763 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.792 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.687 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.493 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.736 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.688 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.752 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.779 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.774 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.763 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.784 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.723 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.765 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.720 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.822 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.851 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.751 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.806 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.753 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.773 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.749 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.820 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.759 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.723 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.519 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.682 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.745 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.645 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.703 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.751 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.694 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.748 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.425 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.446 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.637 total time=   0.0s

[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.661 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.685 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.765 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.689 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.544 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.643 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.644 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.635 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.634 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.437 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.435 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.479 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.532 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.424 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.515 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.683 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.419 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.536 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.458 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.482 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.658 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.614 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.674 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.670 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.719 total time=   0.0s

[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.610 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.596 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.605 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.522 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.414 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.565 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.618 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.540 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.419 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.579 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.603 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.457 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.456 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.368 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.286 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.549 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.607 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.567 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.618 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.633 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.535 total time=   0.0s

[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.700 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.696 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.728 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.659 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.711 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.673 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.569 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.630 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.627 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.615 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.592 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.651 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.599 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.582 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.421 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.414 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.596 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.444 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.561 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.545 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.427 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.541 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.982 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.978 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.974 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.960 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.490 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.608 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.550 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.471 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.639 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.642 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.562 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.599 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.961 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.957 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.922 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.847 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.849 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.862 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.902 total time=   0.0s

[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.544 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.590 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.577 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.583 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.362 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.378 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.557 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.987 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.924 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.889 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.980 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.968 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.971 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.909 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.869 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.928 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.876 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.561 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.611 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.890 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.951 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.940 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.925 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.948 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.935 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.969 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.838 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.790 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.867 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.844 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.855 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.875 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.893 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.860 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.926 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.935 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.938 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.906 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.901 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.932 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.908 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.793 total time=   0.0s

[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.733 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.855 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.819 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.862 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.842 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.861 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.899 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.883 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.807 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.731 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.833 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.814 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.768 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.803 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.828 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.786 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.844 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.862 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.905 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.814 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.848 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.894 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.838 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.861 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.885 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.942 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.699 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.776 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.842 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.827 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.948 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.862 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.819 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.818 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.778 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.895 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.730 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.703 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.750 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.830 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.668 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.648 total time=   0.0s

[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.910 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.864 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.903 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.932 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.867 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.882 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.859 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.913 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.838 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.893 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.869 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.772 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.747 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.779 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.785 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.827 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.774 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.814 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.816 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.782 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.778 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.869 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.843 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.889 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.825 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.837 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.805 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.834 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.781 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.835 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.798 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.838 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.797 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.842 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.808 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.802 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s

[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.907 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.823 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.865 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.838 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.881 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.846 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.775 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.729 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.760 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.844 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.856 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.822 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.793 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.840 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.878 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.850 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.817 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.738 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.759 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.754 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.747 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.772 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.803 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.779 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.740 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.765 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.767 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.749 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.742 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.719 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.775 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.801 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.753 total time=   0.0s

[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.745 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.826 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.800 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.700 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.707 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.729 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.736 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.754 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.791 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.694 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.731 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.725 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.681 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.692 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.756 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.771 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.692 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.684 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.747 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.657 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.758 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.728 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.754 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.701 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.432 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.700 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.742 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.614 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.713 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.499 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.632 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.405 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.559 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.591 total time=   0.0s

[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.582 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.736 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.756 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.698 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.807 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.779 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.815 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.825 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.776 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.846 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.657 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.645 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.730 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.780 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.658 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.674 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.761 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.749 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.666 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.634 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.659 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.737 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.707 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.728 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.778 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.769 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.687 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.611 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.723 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.705 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.604 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.680 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.755 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.699 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.724 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.699 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.656 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.698 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.727 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.679 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.553 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.629 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.620 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.607 total time=   0.0s

[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.685 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.640 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.679 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.570 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.515 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.615 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.695 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.599 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.508 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.565 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.513 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.682 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.675 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.648 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.636 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.705 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.701 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.614 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.602 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.612 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.596 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.599 total time=   0.1s

[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.509 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.648 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.635 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.414 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.448 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.540 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.532 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.511 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.650 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.655 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.473 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.591 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.343 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.446 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.615 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.510 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.389 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.643 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.658 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.579 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.688 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.524 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.982 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.972 total time=   0.0s

[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.651 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.683 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.602 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.638 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.670 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.651 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.688 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.531 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.575 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.604 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.596 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.656 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.556 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.604 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.656 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.586 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.548 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.982 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.485 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.590 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.645 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.513 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.669 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.577 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.660 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.529 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.559 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.593 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.982 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.964 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.914 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.925 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s

[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.982 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.943 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.962 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.908 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.950 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.976 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.942 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.726 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.832 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.876 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.846 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.895 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.937 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.800 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.772 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.767 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.831 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.767 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.687 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.666 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.653 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.531 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.459 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.478 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.625 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.626 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.987 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.869 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.970 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.943 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.915 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.910 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.919 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.959 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.889 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.1s

[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.965 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.963 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.906 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.921 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.906 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.956 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.922 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.931 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.973 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.912 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.949 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.889 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.874 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.885 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.893 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.873 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.830 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.880 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.875 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.915 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.881 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.868 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.885 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.828 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.882 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.922 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.857 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.904 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.891 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.912 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.923 total time=   0.0s

[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.872 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.946 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.883 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.902 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.900 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.903 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.890 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.886 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.889 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.912 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.747 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.873 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.841 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.797 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.834 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.832 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.837 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.861 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.785 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.814 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.726 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.767 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.746 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.875 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.849 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.894 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.826 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.864 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.848 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.822 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.860 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.845 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.857 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.750 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.665 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.763 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.840 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.707 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.792 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.753 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.756 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.737 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.760 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.776 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.674 total time=   0.0s

[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.932 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.952 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.889 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.924 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.817 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.835 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.801 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.845 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.847 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.846 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.848 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.897 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.837 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.855 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.863 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.753 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.744 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.793 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.768 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.800 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.854 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.888 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.790 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.861 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.825 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.807 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.835 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.813 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.739 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.746 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.804 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.816 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.728 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.786 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.1s

[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.842 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.766 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.831 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.832 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.842 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.804 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.818 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.844 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.866 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.855 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.770 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.770 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.809 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.840 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.789 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.781 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.793 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.803 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.784 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.814 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.744 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.797 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.775 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.799 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.752 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.595 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.664 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.774 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.715 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.730 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.709 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.627 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.759 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.731 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.702 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.478 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.646 total time=   0.0s

[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.810 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.839 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.803 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.848 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.787 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.798 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.810 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.812 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.780 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.832 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.795 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.858 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.768 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.815 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.638 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.657 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.767 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.766 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.775 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.728 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.675 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.636 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.732 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.726 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.701 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.746 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.652 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.763 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.693 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.763 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.724 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.713 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.768 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.738 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.826 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.733 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.759 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.784 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.685 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.670 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.745 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.639 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.672 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.723 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.733 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.670 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.576 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.521 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.692 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.744 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.564 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.566 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.611 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.566 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.669 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.745 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.791 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.670 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.615 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.706 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.773 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.739 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.727 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.757 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.682 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.737 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.801 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.785 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.710 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.737 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.728 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.700 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.717 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.660 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.622 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.678 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.681 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.564 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.756 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.724 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.787 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.680 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.751 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.664 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.656 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.690 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.687 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.665 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.706 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.665 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.613 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.664 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.672 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.718 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.593 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.701 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.670 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.704 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.654 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.637 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.661 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.610 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.689 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.693 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.675 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.496 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.515 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.578 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.665 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.652 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.654 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.486 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.613 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.528 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.629 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.607 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.639 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.626 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.694 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.772 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.740 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.697 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.668 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.694 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.695 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.768 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.567 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.661 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.677 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.690 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.666 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.650 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.674 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.614 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.683 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.645 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.705 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.620 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.650 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.571 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.611 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.657 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.686 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.611 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.672 total time=   0.2s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.632 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.644 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.529 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.659 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.680 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.609 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.638 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.531 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.552 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.622 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.555 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.565 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.589 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.521 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.524 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.612 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.692 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.605 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.659 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.594 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.607 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.670 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.619 total time=   0.2s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.648 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.687 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.625 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.627 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.694 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.647 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.665 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.610 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.582 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.624 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.670 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.593 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.611 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.583 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.650 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.669 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.622 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.667 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.476 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.499 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.586 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.519 total time=   0.0s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.465 total time=   0.0s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.438 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.494 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.517 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.620 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.571 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.507 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.580 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.654 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.621 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.654 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.552 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.646 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.604 total time=   0.1s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.671 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.644 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.611 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.669 total time=   0.1s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.632 total time=   0.0s

[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.554 total time=   0.0s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.585 total time=   0.0s
[CV 3/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.661 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.601 total time=   0.1s
[CV 8/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.648 total time=   0.1s
[CV 9/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.598 total time=   0.1s
[CV 10/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.586 total time=   0.1s
[CV 1/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.537 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.645 total time=   0.1s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.2s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.2s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.2s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.2s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s

[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.2s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.2s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.2s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.2s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s

[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.2s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.1s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.910 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.906 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.922 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.915 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.908 total time=   0.0s

[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.936 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.928 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.2s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.924 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.896 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.867 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.920 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.898 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.876 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.837 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.0s

[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.900 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.971 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.876 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.790 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.896 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.732 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.544 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.899 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.804 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.879 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.875 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.869 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.848 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.872 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.807 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.902 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.897 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.864 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.888 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.899 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.923 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.936 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.891 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.865 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.893 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.907 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.911 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.656 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.633 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.781 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.758 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.779 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.820 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.784 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.795 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.751 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.720 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.739 total time=   0.1s

[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.846 total time=   0.1s
[CV 4/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=26, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.894 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.886 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.826 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.806 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.896 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.898 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.933 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.887 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.906 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.864 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.882 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.923 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.943 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.924 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.950 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.941 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.913 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.888 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.794 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.858 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.721 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.809 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.856 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.889 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.750 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.812 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.823 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.811 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.872 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.879 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.769 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.811 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.605 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.701 total time=   0.0s

[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.101 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.922 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.913 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.918 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.914 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.919 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.882 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.919 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.904 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.939 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.798 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.772 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.822 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.843 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.824 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.655 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.794 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.727 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.827 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.636 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.768 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.721 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.740 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.799 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.822 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.804 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.789 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.860 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.804 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.802 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.804 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.805 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.779 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.836 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.819 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.822 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.700 total time=   0.0s

[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.581 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.910 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.935 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.883 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.870 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.848 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.803 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.842 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.837 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.869 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.884 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.909 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.825 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.873 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.878 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.855 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.852 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.811 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.741 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.641 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.649 total time=   0.2s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.720 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.780 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.700 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.781 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.711 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.717 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.747 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.767 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.688 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.657 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.670 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.707 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.686 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.660 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.697 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.589 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.748 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.710 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.565 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.561 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.555 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.626 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.638 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.574 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.595 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.666 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.582 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.615 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.531 total time=   0.1s

[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.653 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.845 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.815 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.727 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.729 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.359 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.561 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.385 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.267 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.530 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.580 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.553 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.724 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.757 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.316 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.393 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.382 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.611 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.506 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.497 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.534 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.474 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.592 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.638 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.672 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.679 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.391 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.412 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.386 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.500 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.424 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.472 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.512 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.630 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.549 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.571 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.636 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.728 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.641 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.318 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.537 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.336 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.551 total time=   0.5s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.404 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.617 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.661 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.589 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.589 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.450 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.417 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.632 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.701 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.646 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.740 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.759 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.698 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.706 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.786 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.794 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.698 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.748 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.739 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.754 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.709 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.764 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.741 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.749 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.530 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.455 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.695 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.586 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.553 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.659 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.653 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.711 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.729 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.543 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.653 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.415 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.711 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.621 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.588 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.566 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.663 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.596 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.677 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.556 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.695 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.608 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.703 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.548 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.692 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.504 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.533 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.537 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.637 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.661 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.598 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.675 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.576 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.628 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.648 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.729 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.620 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.707 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.499 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.687 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.644 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.642 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.699 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.696 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.281 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.338 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.592 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.652 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.372 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.605 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.412 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.618 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.619 total time=   0.6s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.546 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.470 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.636 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.545 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.427 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.574 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.466 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.555 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.603 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.515 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.363 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.319 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.379 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.466 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.630 total time=   0.1s

[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.604 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.504 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.580 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.529 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.598 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.635 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.479 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.556 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.485 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.515 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.542 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.521 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.509 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.320 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.438 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.308 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.406 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.442 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.346 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.491 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.462 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.583 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.493 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.561 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.509 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.576 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.419 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.440 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.530 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.443 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.532 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.497 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.519 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.281 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.311 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.435 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.472 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.489 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.503 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.484 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.455 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.470 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.470 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.414 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.494 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.411 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.561 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.392 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.517 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.223 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.270 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.345 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.367 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.262 total time=   0.0s

[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.364 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.601 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.674 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.518 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.633 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.590 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.539 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.602 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.380 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.488 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.349 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.514 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.514 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.278 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.648 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.525 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.518 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.607 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.533 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.526 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.372 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.377 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.482 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.455 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.448 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.345 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.298 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.570 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.500 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.494 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.540 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.577 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.544 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.525 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.498 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.633 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.371 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.459 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.320 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.512 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.502 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.488 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.537 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.619 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.606 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.377 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.382 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.418 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.473 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.451 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.478 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.445 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.393 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.415 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=-0.000 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.486 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.455 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.600 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.557 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.517 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.502 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.655 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.215 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.471 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.478 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.464 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.618 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.486 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.500 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.490 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.526 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.344 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.396 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.249 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.454 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.496 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.419 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.428 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.498 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.431 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.347 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.428 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.172 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.383 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.350 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.313 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.359 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.449 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.326 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.485 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.369 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.302 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.399 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.351 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.444 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.373 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.363 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.334 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.406 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.303 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.456 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.436 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.488 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.533 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.570 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.322 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.335 total time=   0.0s

[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.486 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.600 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.395 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.436 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.391 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.554 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.577 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.535 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.559 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.561 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.213 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.365 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.364 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.187 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.416 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.599 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.521 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.510 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.553 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.487 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.549 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.457 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.552 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.423 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.425 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.446 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.334 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.498 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.472 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.468 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.416 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.563 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.428 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.481 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.302 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.476 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.433 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.474 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.399 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.524 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.528 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.353 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.362 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.538 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.259 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.345 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.381 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.251 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.264 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.315 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.350 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.333 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.446 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.419 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.493 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.346 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.405 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.370 total time=   0.0s

[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.465 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.501 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.477 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.436 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.389 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.508 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.324 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.338 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.420 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.272 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.413 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.454 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.513 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.417 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.504 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.510 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.456 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.383 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.425 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.319 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.253 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.355 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.416 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.435 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.490 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.294 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.285 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.355 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.349 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.392 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.401 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.338 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.331 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.467 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.341 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.354 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.178 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.206 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.266 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.340 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.286 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.370 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.326 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.322 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.374 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.332 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.301 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.919 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.925 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.486 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.553 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.339 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.396 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.406 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.290 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.446 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.455 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.406 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.494 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.456 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.496 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.472 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.357 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.374 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.386 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.489 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.506 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.377 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.390 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.541 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.460 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.523 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.466 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.552 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.438 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.473 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.446 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.466 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.497 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.474 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.463 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.470 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.421 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.492 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.380 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.444 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.465 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.384 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.472 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.366 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.425 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.433 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.345 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.382 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.429 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.427 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.418 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.289 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.393 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.461 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.394 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.372 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.1s

[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.496 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.498 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.522 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.351 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.438 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.544 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.301 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.425 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.329 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.407 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.467 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.405 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.467 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.220 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.259 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.307 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.437 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.238 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.296 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.464 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.448 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.525 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.314 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.462 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.384 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.429 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.377 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.478 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.447 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.384 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.194 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.404 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.402 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.404 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.419 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.472 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.415 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.243 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.327 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.427 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.326 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.445 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.339 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.438 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.391 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.442 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.981 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.897 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.959 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.980 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.301 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.423 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.324 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.216 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.324 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.366 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.395 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.388 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.526 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.368 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.366 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.242 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.272 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.294 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.327 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.225 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.300 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.389 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.370 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.408 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.481 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.451 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.397 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.382 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.338 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.289 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.408 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.428 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.432 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.389 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.424 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.400 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.454 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.462 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.401 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.434 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.941 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.928 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.862 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.883 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.933 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.930 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.862 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.861 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.906 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.947 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.921 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.915 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.879 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.762 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.901 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.904 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.960 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.795 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.856 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.785 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.883 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.852 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.870 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.904 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.786 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.816 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.833 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.866 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.841 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.856 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.861 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.799 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.814 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.807 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.839 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.983 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.969 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.939 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.960 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.912 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.941 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.927 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.756 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.914 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.903 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.916 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.848 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.885 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.889 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.850 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.878 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.882 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.563 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.766 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.861 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.854 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.862 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.823 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.851 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.853 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.973 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.871 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.886 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.882 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.924 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.910 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.955 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.890 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.909 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.721 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.830 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.805 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.862 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.853 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.932 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.907 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.877 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.750 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.728 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.777 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.823 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.828 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.787 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.719 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.748 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.780 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.794 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.807 total time=   0.0s

[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.835 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.896 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.947 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.885 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.923 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.906 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.897 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.876 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.873 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.875 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.838 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.858 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.845 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.818 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.862 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.824 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.803 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.812 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.787 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.729 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.662 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.650 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.759 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.767 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.744 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.762 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.767 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.792 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.477 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.773 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.713 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.809 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.807 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.823 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.877 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.783 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.836 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.748 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.810 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.731 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.753 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.798 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.787 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.812 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.823 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.823 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.771 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.787 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.809 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.762 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.719 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.765 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.815 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.736 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.707 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.696 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.750 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.698 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.761 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.626 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.532 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.711 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.647 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.718 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.693 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.385 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.627 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.619 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.667 total time=   0.3s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.731 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.785 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.797 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.820 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.843 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.840 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.825 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.816 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.648 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.743 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.827 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.773 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.766 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.779 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.724 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.766 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.765 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.492 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.512 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.707 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.776 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.691 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.697 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.743 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.764 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.691 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.777 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.692 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.664 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.701 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.702 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.757 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.727 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.723 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.559 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.709 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.730 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.670 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.674 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.657 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.757 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.638 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.627 total time=   0.1s

[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.635 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.815 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.834 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.767 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.785 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.771 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.793 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.673 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.716 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.696 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.733 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.754 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.700 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.721 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.778 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.739 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.748 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.579 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.505 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.684 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.790 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.648 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.731 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.735 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.733 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.737 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.596 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.655 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.712 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.698 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.721 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.702 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.700 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.703 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.603 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.634 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.705 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.745 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.677 total time=   0.1s

[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.683 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.779 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.773 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.777 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.758 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.748 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.640 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.744 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.653 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.759 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.755 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.714 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.758 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.552 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.721 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.771 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.643 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.681 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.747 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.630 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.634 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.632 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.700 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.680 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.661 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.555 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.571 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.620 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.641 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.729 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.4s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.371 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.413 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.564 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.578 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.453 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.618 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.720 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.628 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.646 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.633 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.596 total time=   0.0s

[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.583 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.665 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.630 total time=   0.3s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.476 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.577 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.669 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.611 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.673 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.705 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.637 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.679 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.611 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.548 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.643 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.557 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.3s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.672 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.656 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.447 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.452 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.560 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.626 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.602 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.627 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.651 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.582 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.604 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.543 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.582 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.555 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.621 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.499 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.311 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.452 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.561 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.539 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.564 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.571 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.571 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.569 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.593 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.662 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.670 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.655 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.712 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.670 total time=   0.4s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.753 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.702 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.638 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.599 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.693 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.661 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.673 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.617 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.570 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.695 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.616 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.642 total time=   0.2s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.506 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.534 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.497 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.569 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.532 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.627 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.633 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.683 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.375 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.581 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.561 total time=   0.2s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.606 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.540 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.603 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.655 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.584 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.595 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.648 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.583 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.586 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.526 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.598 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.563 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.501 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.583 total time=   0.0s

[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.699 total time=   0.2s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.689 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.608 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.493 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.625 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.623 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.677 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.473 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.546 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.639 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.603 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.584 total time=   0.3s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.646 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.566 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.599 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.594 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.431 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.442 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.433 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.558 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.437 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.549 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.514 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.607 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.626 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.515 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.590 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.593 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.594 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.632 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.610 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.387 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.408 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.607 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.576 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.548 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.609 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.555 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.436 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.454 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.310 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.630 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.611 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.612 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.549 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.505 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.542 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.625 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.652 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.618 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.603 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.641 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.609 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.611 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.636 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.576 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.629 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.552 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.490 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.561 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.583 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.513 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.520 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.611 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.605 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.557 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.596 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.397 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.359 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.604 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.588 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.601 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.505 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.424 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.384 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.440 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.553 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.541 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.558 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.553 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.562 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.524 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.566 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.567 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.543 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.566 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.485 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.558 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.563 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.897 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.927 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.1s

[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.587 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.451 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.518 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.537 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.558 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.577 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.635 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.556 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.587 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.346 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.462 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.560 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.528 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.553 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.502 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.505 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.491 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.570 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.547 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.560 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.560 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.953 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.953 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.938 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.919 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.929 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.981 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.924 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.955 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.910 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.941 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s

[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.292 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.449 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.268 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.417 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.404 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.479 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.356 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.328 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.539 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.522 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.539 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.546 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.355 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.527 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.528 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.492 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.570 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.497 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.550 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.543 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.941 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.981 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.966 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.986 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.956 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s

[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.394 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.412 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.466 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.558 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.501 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.509 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.527 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.933 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.985 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.937 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.933 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.910 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.958 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.877 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.927 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.896 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.923 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.917 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.941 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.961 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.952 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.921 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.824 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.829 total time=   0.0s

[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.859 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.917 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.948 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.930 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.906 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.934 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.914 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.884 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.900 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.842 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.857 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.857 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.880 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.865 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.879 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.895 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.873 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.725 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.804 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.847 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.885 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.843 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.854 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.805 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.824 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.789 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.833 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.838 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.831 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.675 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.718 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.682 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.723 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.747 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.792 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.784 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.825 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.770 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.842 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.790 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.813 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.789 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.621 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.605 total time=   0.0s

[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.663 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.840 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.917 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.944 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.877 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.927 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.728 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.757 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.871 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.876 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.913 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.916 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.815 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.776 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.797 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.763 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.729 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.796 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.832 total time=   0.3s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.887 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.855 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.822 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.705 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.731 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.734 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.739 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.629 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.700 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.773 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.816 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.783 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.821 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.843 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.649 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.700 total time=   0.0s

[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.580 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.912 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.837 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.859 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.907 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.866 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.919 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.841 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.875 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.889 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.845 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.846 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.812 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.764 total time=   0.2s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.858 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.850 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.899 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.840 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.874 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.824 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.838 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.823 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.889 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.823 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.844 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.843 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.789 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.779 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.864 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.822 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.857 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.795 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.742 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.715 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.860 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.742 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.695 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.944 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.925 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.951 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.911 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.901 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.867 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.878 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.883 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.930 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.2s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.876 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.829 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.839 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.833 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.891 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.652 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.649 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.799 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.740 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.763 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.835 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.857 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.797 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.863 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.752 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.837 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.842 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.770 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.801 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.851 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.775 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.622 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.763 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.746 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.810 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.763 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.783 total time=   0.0s

[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.762 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.775 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.776 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.750 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.819 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.787 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.756 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.780 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.638 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.746 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.729 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.752 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.763 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.741 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.634 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.481 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.692 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.700 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.660 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.694 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.755 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.496 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.624 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.721 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.751 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.716 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.429 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.569 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.678 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.759 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.612 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.681 total time=   0.1s

[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.730 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.770 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.750 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.723 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.787 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.743 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.731 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.666 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.724 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.731 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.564 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.574 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.729 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.720 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.735 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.665 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.674 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.652 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.705 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.693 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.696 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.656 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.636 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.684 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.676 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.435 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.522 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.459 total time=   0.0s

[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.746 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.736 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.756 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.754 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.815 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.817 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.636 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.631 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.747 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.734 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.749 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.824 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.756 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.704 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.775 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.752 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.745 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.822 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.772 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.761 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.704 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.737 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.718 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.805 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.743 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.744 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.732 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.724 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.730 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.746 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.742 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.744 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.697 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.690 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.666 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.668 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.699 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.629 total time=   0.0s

[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.608 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.640 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.789 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.693 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.770 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.753 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.749 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.660 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.694 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.572 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.593 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.697 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.688 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.715 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.698 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.597 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.577 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.631 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.500 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.466 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.692 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.650 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.733 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.651 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.674 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.571 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.585 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.716 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.460 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.472 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.519 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.581 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.676 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.690 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.617 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.488 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.458 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.535 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.577 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.599 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.678 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.594 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.578 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.576 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.584 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.551 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.522 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.612 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.646 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.643 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.625 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.594 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.647 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.561 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.599 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.498 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.566 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.618 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.620 total time=   0.1s

[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.572 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.642 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.477 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.549 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.607 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.459 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.484 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.630 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.589 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.663 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.613 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.469 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.446 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.490 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.388 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.582 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.563 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.568 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.579 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.544 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.622 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.454 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.442 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.444 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.494 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.522 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.567 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.542 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.577 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.606 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.528 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.663 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.467 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.699 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.618 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.684 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.339 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.502 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.689 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.643 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.674 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.641 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.400 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.457 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.619 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.610 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.599 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.624 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.609 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.642 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.525 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.582 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.551 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.529 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.470 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.513 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.609 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.595 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.982 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.967 total time=   0.1s

[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.986 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.671 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.657 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.688 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.688 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.637 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.595 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.678 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.677 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.703 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.674 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.702 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.666 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.608 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.679 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.638 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.614 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.536 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.664 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.683 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.538 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.670 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.589 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.636 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.585 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.572 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.633 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.650 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.647 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.611 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.649 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.657 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.545 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.576 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.573 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.646 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.664 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.523 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.601 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.1s

[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.531 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.617 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.364 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.369 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.405 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.386 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.529 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.575 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.608 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.619 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.926 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.969 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.945 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.980 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.950 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.988 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.933 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.955 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.946 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.973 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.912 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.920 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.927 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.912 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.910 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.909 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.959 total time=   0.1s

[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.869 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.963 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.894 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.969 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.963 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.976 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.923 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.960 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.936 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.914 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.915 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.901 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.829 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.846 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.895 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.922 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.838 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.892 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.941 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.799 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.772 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.878 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.910 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.912 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.870 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.981 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.960 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.977 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.973 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.961 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.908 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.875 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.940 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.938 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.923 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.955 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.926 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.895 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.890 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.832 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.891 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.777 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.868 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.769 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.900 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.859 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.882 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.888 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.971 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.903 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.937 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.921 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.976 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.911 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.887 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.916 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.946 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.810 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.818 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.910 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.895 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.925 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.860 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.865 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.920 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.917 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.873 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.909 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.941 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.894 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.874 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.865 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.858 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.748 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.805 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.769 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.781 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.797 total time=   0.0s

[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.803 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.876 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.889 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.878 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.932 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.847 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.806 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.828 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.629 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.812 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.791 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.713 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.785 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.803 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.816 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.839 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.875 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.843 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.696 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.768 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.805 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.874 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.834 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.603 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.741 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.699 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.724 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.766 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.762 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.796 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.774 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.821 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.656 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.761 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.669 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.683 total time=   0.1s

[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.803 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.874 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.904 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.890 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.918 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.903 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.879 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.903 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.842 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.878 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.851 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.832 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.828 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.857 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.856 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.872 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.833 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.830 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.783 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.817 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.798 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.812 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.806 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.871 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.798 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.734 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.811 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.804 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.830 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.562 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.720 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.724 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.745 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.780 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.701 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.776 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.818 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.752 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.781 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.785 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.769 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.732 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.817 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.719 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.755 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.655 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s

[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.882 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.886 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.724 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.714 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.689 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.780 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.805 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.845 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.822 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.882 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.863 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.815 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.908 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.872 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.843 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.859 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.701 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.766 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.795 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.779 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.790 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.803 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.859 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.811 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.865 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.829 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.732 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.760 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.810 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.793 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.795 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.821 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.749 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.776 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.774 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.722 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.717 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.757 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.625 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.590 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.615 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.695 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.713 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.772 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.775 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.806 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.742 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.782 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.734 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.747 total time=   0.0s

[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.641 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.821 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.888 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.902 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.837 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.864 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.880 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.880 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.887 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.764 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.848 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.835 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.734 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.814 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.792 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.812 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.810 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.873 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.815 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.829 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.727 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.787 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.813 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.812 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.805 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.803 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.812 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.841 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.812 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.782 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.785 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.737 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.783 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.819 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.742 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.802 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.745 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.811 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.756 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.701 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.760 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.798 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.752 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.755 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.693 total time=   0.1s

[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.753 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.765 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.749 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.806 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.773 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.564 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.512 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.656 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.660 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.746 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.739 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.717 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.706 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.697 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.768 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.792 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.746 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.690 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.618 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.508 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.546 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.726 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.734 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.662 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.702 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.685 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.753 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.726 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.779 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.750 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.677 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.619 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.776 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.723 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.693 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.742 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.637 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.719 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.692 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.639 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.595 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.656 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.660 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.692 total time=   0.1s

[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.660 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.768 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.724 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.620 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.642 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.680 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.638 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.703 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.532 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.499 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.585 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.682 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.663 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.743 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.708 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.518 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.631 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.571 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.607 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.603 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.549 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.568 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.624 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.722 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.618 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.629 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.715 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.597 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.545 total time=   0.0s

[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.633 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.672 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.764 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.724 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.700 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.759 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.751 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.725 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.704 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.707 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.766 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.686 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.609 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.609 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.492 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.567 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.581 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.687 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.650 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.694 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.688 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.629 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.636 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.501 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.643 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.687 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.668 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.679 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.640 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.664 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.626 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.637 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.691 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.550 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.639 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.660 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.587 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.661 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.688 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.692 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.705 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.760 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.666 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.764 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.690 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.639 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.713 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.697 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.693 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.771 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.659 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.738 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.712 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.738 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.710 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.692 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.646 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.724 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.746 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.661 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.724 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.691 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.619 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.665 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.698 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.700 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.553 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.613 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.607 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.631 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.729 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.640 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.695 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.575 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.554 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.585 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.603 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.577 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.671 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.692 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.664 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.628 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.567 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.640 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.675 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.609 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.657 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.653 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.560 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.1s

[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.524 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.627 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.611 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.373 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.474 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.554 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.526 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.641 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.555 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.660 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.601 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.588 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.590 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.428 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.584 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.502 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.490 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.565 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.527 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.530 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.967 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.959 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.949 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.960 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.975 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.969 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.989 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.944 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.955 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.923 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.507 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.545 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.526 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.586 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.521 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.646 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.699 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.627 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.490 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.491 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.578 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.526 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.483 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.471 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.596 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.657 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.588 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.662 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.613 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.630 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.534 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.620 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.671 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.602 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.614 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.657 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.481 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.544 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.537 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.613 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.641 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.591 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.981 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.638 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.462 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.579 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.590 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.690 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.660 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.691 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.700 total time=   0.1s

[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.671 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.619 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.521 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.614 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.602 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.470 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.526 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.410 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.598 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.648 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.598 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.607 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.632 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.542 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.620 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.471 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.461 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.532 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.548 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.571 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.544 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.623 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.587 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.662 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.637 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.981 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.983 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.969 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.670 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.621 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.680 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.609 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.635 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.557 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.600 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.603 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.648 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.673 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.981 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.974 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.914 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.982 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.987 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.876 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.896 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.924 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.963 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.962 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.958 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.2s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.894 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.949 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.944 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.963 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.923 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.907 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.909 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.926 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.948 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.871 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.914 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.934 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.900 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.919 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.947 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.932 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.913 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.914 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.873 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.880 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.897 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.902 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.914 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.888 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.937 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.814 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.790 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.902 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.809 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.760 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.808 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.884 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.856 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.847 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.903 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.938 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.909 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.888 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.862 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.896 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.861 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.903 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.838 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.882 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.892 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.879 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.730 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.754 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.963 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.958 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.981 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.942 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.973 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.963 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.966 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.936 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.938 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.908 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.909 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.962 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.881 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.878 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.887 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.925 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.735 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.797 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.858 total time=   0.0s

[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.845 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.865 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.793 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.825 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.873 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.857 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.882 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.761 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.802 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.825 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.847 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.849 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.947 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.942 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.964 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.962 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.916 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.983 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.925 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.912 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.969 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.955 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.933 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.941 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.923 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.934 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.865 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.880 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.888 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.928 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.911 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.901 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.914 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.899 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.882 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.884 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.818 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.830 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.832 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.827 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.820 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.882 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.831 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.898 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.886 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.923 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.883 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.876 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.807 total time=   0.0s

[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.812 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.803 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.842 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.912 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.836 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.837 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.863 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.697 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.750 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.752 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.759 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.772 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.807 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.839 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.849 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.900 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.781 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.853 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.728 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.741 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.786 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.695 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.780 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.777 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.767 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.846 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.762 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.818 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.830 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.769 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.835 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.830 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.730 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.719 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.793 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.852 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.778 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.737 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.769 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.745 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.718 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.777 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.771 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.817 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.732 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.760 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.672 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.738 total time=   0.1s

[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.649 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.884 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.890 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.900 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.956 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.892 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.915 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.894 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.944 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.860 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.896 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.915 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.856 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.876 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.891 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.916 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.853 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.895 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.853 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.845 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.866 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.827 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.876 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.907 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.794 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.797 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.796 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.843 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.887 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.741 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.725 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.788 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.749 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.801 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.808 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.754 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.576 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.691 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.729 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.736 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.761 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.790 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.678 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.756 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.743 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.791 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.765 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.753 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.907 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.866 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.750 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.794 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.853 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.840 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.802 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.885 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.856 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.838 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.854 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.799 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.794 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.850 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.793 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.807 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.817 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.783 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.790 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.774 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.759 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.793 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.718 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.783 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.758 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.756 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.692 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.598 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.659 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.523 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.640 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.766 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.742 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.773 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.707 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.727 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.759 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.686 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.558 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.603 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.660 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.794 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.739 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.696 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.845 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.813 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.835 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.725 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.842 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.800 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.825 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.816 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.823 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.788 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.835 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.851 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.768 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.805 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.799 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.616 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.741 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.657 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.727 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.757 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.693 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.808 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.764 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.823 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.733 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.788 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.755 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.793 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.702 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.788 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.740 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.720 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.719 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.763 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.762 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.755 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.648 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.741 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.717 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.687 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.725 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.668 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.788 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.744 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.690 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.699 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.663 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.693 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.710 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.660 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.699 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.778 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.805 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.647 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.738 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.683 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.675 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.710 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.793 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.690 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.734 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.743 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.681 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.749 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.773 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.651 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.732 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.707 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.752 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.686 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.670 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.677 total time=   0.2s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.702 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.719 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.731 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.646 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.658 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.720 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.621 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.695 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.629 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.690 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.730 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.676 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.553 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.644 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.589 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.679 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.480 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.663 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.610 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.685 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.679 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.700 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.597 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.667 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.765 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.729 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.778 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.633 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.706 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.701 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.749 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.687 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.764 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.660 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.723 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.759 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.676 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.627 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.674 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.706 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.622 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.682 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.596 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.668 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.661 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.643 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.707 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.666 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.510 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.494 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.559 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.669 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.583 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.646 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.681 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.668 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.638 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.691 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.427 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.534 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.562 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.467 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.637 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.540 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.512 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.531 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.631 total time=   0.0s

[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.645 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.661 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.504 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.655 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.739 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.587 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.727 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.696 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.741 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.637 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.722 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.661 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.705 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.624 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.681 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.610 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.668 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.589 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.655 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.681 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.695 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.621 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.708 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.625 total time=   0.2s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.617 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.641 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.637 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.688 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.612 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.646 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.653 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.654 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.583 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.584 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.548 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.612 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.667 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.631 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.662 total time=   0.2s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.597 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.579 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.631 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.583 total time=   0.0s

[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.628 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.696 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.638 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.693 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.728 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.695 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.712 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.565 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.475 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.543 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.735 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.686 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.656 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.640 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.642 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.710 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.713 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.680 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.690 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.531 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.544 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.650 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.680 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.688 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.684 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.725 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.696 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.599 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.671 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.569 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.712 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.620 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.647 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.689 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.641 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.726 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.674 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.693 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.623 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.680 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.539 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.654 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.676 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.703 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.657 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.708 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.597 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.649 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.597 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.622 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.606 total time=   0.2s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.625 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.683 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.615 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.658 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.631 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.625 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.496 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.507 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.453 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.526 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.550 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.593 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.498 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.644 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.586 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.636 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.657 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.520 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.592 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.530 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.475 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.578 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.548 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.582 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.607 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.650 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.563 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.651 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s

[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.629 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.662 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.698 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.669 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.456 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.621 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.631 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.626 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.697 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.2s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.650 total time=   0.2s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.487 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.559 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.645 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.556 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.667 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.672 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.591 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.679 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.613 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.545 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.608 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.619 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.648 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.645 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.528 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.613 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.486 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.682 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.586 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.671 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.548 total time=   0.1s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.622 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.398 total time=   0.0s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.355 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.601 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.575 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.619 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.548 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.675 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.1s

[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.682 total time=   0.2s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.1s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.672 total time=   0.1s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.617 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.641 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.560 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.638 total time=   0.1s
[CV 3/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.653 total time=   0.1s
[CV 4/10] END max_depth=28, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.666 total time=   0.1s
[CV 5/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.588 total time=   0.1s
[CV 8/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.669 total time=   0.1s
[CV 9/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.586 total time=   0.0s
[CV 10/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.620 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.580 total time=   0.1s
[CV 2/10] END max_depth=28, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.573 total time=   0.1s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.928 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.934 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.850 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.872 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.844 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.885 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.849 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.826 total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.932 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.912 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.964 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.937 total time=   0.0s

[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.803 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.927 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.903 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.888 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.920 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=1;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.928 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.904 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.945 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.822 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.936 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.913 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.914 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=2;, score=0.916 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.913 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.888 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.907 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.896 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.891 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.847 total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=28, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.949 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.943 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.939 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.952 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.934 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=4;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.962 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=5;, score=0.975 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.497 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.874 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.762 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=2;, score=0.835 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.894 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.929 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.854 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.924 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.696 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.610 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.776 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.819 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.826 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.724 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.838 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.679 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.786 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.843 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.832 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.815 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=1;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.928 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.896 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.931 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.922 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.934 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.886 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.808 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.727 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=1;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.894 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.910 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.874 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.943 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.911 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.909 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.887 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=5;, score=0.887 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.753 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.658 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=1;, score=0.849 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.768 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.819 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.802 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.807 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=3;, score=0.830 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.797 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.846 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.822 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.811 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.790 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.833 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.486 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.538 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.318 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.271 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=1;, score=0.547 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.595 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.589 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.710 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.452 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.535 total time=   0.0s

[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=2;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.944 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=2, n_estimators=3;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.885 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.937 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.929 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.931 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.921 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.903 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.921 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.936 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=4;, score=0.915 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.949 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.795 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.864 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.722 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.838 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.867 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.871 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.881 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.886 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.841 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.850 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.793 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.833 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.812 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=4;, score=0.843 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.792 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.791 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.811 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.800 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.861 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.825 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.749 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=5;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.590 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.745 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.706 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.675 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.697 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.764 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.699 total time=   0.0s

[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.723 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.879 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.913 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.892 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.929 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.823 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.879 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.908 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=6, n_estimators=4;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.791 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=4;, score=0.862 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.830 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.903 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.846 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.854 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.869 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=5;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.653 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.639 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.663 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=1;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.679 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.764 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.686 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.712 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.706 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.800 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.735 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.645 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.667 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.782 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.739 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=5;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.642 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.685 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.625 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.674 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.684 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=4;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.683 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=2;, score=0.828 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.802 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=8, n_estimators=3;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.819 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=1;, score=0.744 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.787 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.796 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.783 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.786 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.797 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=10, n_estimators=2;, score=0.821 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.474 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=2;, score=0.627 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.689 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.740 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.693 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.742 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=3;, score=0.796 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.740 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.782 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.685 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=12, n_estimators=4;, score=0.776 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=2;, score=0.700 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.729 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.630 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.719 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.685 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.721 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.637 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=3;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=4;, score=0.691 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.634 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.590 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.592 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.691 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.611 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.762 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.674 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.646 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.590 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=3;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.694 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.601 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.656 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.585 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.278 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.536 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.453 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=1;, score=0.437 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.572 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.682 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=2;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.730 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.354 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.375 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.561 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.214 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.302 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.469 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=1;, score=0.451 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.519 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.597 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.624 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.600 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.554 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.379 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.518 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.422 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.687 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.440 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.465 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.432 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.528 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.347 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=1;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.686 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.580 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.203 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.403 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.495 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.530 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.273 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.395 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.542 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.230 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.413 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.179 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.485 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.340 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.435 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.546 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.462 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.522 total time=   0.0s

[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=2;, score=0.512 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=14, n_estimators=5;, score=0.726 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.385 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.630 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.482 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=2;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.654 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.575 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.650 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.616 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=3;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.492 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.563 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.607 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.469 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.489 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.595 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.534 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=2;, score=0.520 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.557 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.391 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=1;, score=0.343 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.523 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.603 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=2;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.593 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.622 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.444 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.550 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.535 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.535 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.585 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.529 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.456 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.552 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.579 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.543 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.575 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.555 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.571 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.482 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.545 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.549 total time=   0.0s

[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.514 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.451 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=3;, score=0.535 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.378 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.306 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.357 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.453 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.476 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.460 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.491 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.470 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=2;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.416 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.496 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.279 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.435 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.286 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.275 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.368 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.378 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.428 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.521 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.438 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.457 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.599 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.267 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.415 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.316 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.234 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.285 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.293 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.399 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.263 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=1;, score=0.262 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.388 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.438 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.402 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.571 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.411 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.405 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.497 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.600 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.270 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.253 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.220 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.175 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.486 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.366 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.403 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.322 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=1;, score=0.340 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.466 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.429 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.407 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.525 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.538 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.264 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.418 total time=   0.0s

[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.326 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.644 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=16, n_estimators=5;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.522 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.616 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=3;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.617 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.513 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.501 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.650 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=4;, score=0.557 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.555 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=20, n_estimators=5;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.528 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.487 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.616 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.637 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=5;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.347 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.447 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.466 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.348 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=1;, score=0.398 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.464 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.621 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.587 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.497 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.535 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.509 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=3;, score=0.580 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.557 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.488 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.556 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=4;, score=0.440 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.505 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.541 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.507 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.431 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.516 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.494 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.532 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.447 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=5;, score=0.455 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.418 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.380 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.493 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.504 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.348 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=2;, score=0.371 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.399 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.588 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.605 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=4;, score=0.639 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.682 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.654 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=18, n_estimators=5;, score=0.583 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.555 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.552 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.601 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.461 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=3;, score=0.562 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.504 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.540 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.515 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.562 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=22, n_estimators=4;, score=0.579 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=4;, score=0.551 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.503 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.547 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.589 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.586 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.557 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.640 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.523 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=24, n_estimators=5;, score=0.545 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.331 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.297 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.497 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=1;, score=0.263 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.399 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=2;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.399 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.497 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.598 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.431 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.568 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.471 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.598 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=3;, score=0.500 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.443 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.381 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.528 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=4;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.517 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.464 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.516 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.445 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.482 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.342 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.556 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.485 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.553 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.537 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.500 total time=   0.0s

[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.360 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.287 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.351 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.274 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.375 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.269 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=1;, score=0.317 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.367 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.551 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.404 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.483 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.495 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.411 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.516 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.377 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.276 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.331 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.461 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.274 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.259 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.304 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.293 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=1;, score=0.419 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.354 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.501 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.452 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.427 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.496 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.448 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.448 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.323 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.324 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.176 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.195 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.297 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.238 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.263 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.041 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.313 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.339 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.224 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.386 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.325 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.370 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.304 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.275 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.293 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.407 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.415 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.381 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=2;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.417 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.293 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.254 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.326 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.019 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.338 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.412 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.226 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.384 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.391 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.328 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.349 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.325 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.354 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.407 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.310 total time=   0.0s

[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=2;, score=0.242 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.531 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.544 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.565 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.489 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=26, n_estimators=5;, score=0.575 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.321 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=28, n_estimators=1;, score=0.298 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.465 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.486 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.343 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=2;, score=0.392 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.423 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.491 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.487 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.361 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.415 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.431 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.475 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=3;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.504 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=4;, score=0.519 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.495 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.430 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.397 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.471 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.501 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.491 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=4;, score=0.510 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.407 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.439 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.563 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.409 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=5;, score=0.433 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.337 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.214 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.409 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.480 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.243 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.360 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.381 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.400 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.331 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=2;, score=0.481 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.411 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.440 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.461 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.493 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.369 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.400 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.403 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.456 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.453 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.378 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.395 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.365 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.463 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.462 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.489 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.395 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.451 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.294 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=4;, score=0.483 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.454 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.381 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.474 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.476 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.509 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.438 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.488 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=32, n_estimators=3;, score=0.480 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.368 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.507 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.577 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.566 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.521 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.401 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.488 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.469 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.539 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.443 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=4;, score=0.564 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.442 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.531 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.486 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=5;, score=0.501 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.218 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=1;, score=0.364 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.402 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.353 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.395 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.309 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.473 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.426 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.238 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=2;, score=0.312 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.393 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.435 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=3;, score=0.506 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.368 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.332 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.408 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.389 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.399 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.472 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.382 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.450 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=38, n_estimators=5;, score=0.482 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.151 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.239 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.300 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.367 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=1;, score=0.428 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.336 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.420 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.283 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.522 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.370 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.294 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.414 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.481 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.320 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=3;, score=0.465 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.430 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.489 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.437 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.506 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.367 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.352 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=30, n_estimators=5;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.463 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.335 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.403 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.391 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.464 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.461 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.395 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=2;, score=0.453 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.433 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.455 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.372 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.360 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.430 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.533 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=34, n_estimators=3;, score=0.428 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.463 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.435 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.431 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=3;, score=0.512 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.381 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.512 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.527 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.421 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.418 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.439 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.507 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=4;, score=0.488 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.418 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=36, n_estimators=5;, score=0.523 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.396 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.460 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.355 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.406 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.510 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=3;, score=0.463 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.358 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.436 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.361 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.516 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.362 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.472 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.409 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.400 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.456 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.392 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=4;, score=0.328 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.417 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.445 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.436 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.409 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.432 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.338 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.520 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=5;, score=0.423 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.964 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.979 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.963 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.944 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s

[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.965 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.931 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=1;, score=0.911 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.974 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.937 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.956 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.896 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.901 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.882 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.937 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=1;, score=0.935 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.968 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.957 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.881 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.849 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.917 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.860 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=1;, score=0.914 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.900 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.954 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.932 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.805 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.838 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.888 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.872 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.880 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.856 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.855 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=1;, score=0.844 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.919 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.886 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.922 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.934 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.907 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.958 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.919 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.930 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=4;, score=0.436 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.371 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.372 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.422 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.416 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.458 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.489 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=2, min_samples_leaf=40, n_estimators=5;, score=0.407 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.277 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.350 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.364 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=2, min_samples_leaf=42, n_estimators=1;, score=0.374 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.965 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=3;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.957 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.957 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.968 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.952 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.943 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.962 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.963 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=5;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.883 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.938 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.856 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.899 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.907 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.867 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=2;, score=0.925 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.903 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.889 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.919 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=3;, score=0.915 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.897 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.898 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.824 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.863 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.921 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.880 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.932 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.858 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.850 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.965 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.957 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=3;, score=0.945 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=4, n_estimators=4;, score=0.964 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.875 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.917 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.945 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.885 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.944 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.971 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.898 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.930 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.929 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=3;, score=0.935 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.948 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.927 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.933 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.717 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.837 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.810 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.808 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.811 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.728 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.807 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=1;, score=0.854 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.877 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.939 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.874 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.920 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.891 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.898 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.909 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.667 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.772 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.749 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.815 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.765 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.703 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.617 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.722 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.783 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.705 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.756 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.770 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=2;, score=0.784 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.769 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.830 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.792 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.945 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=4;, score=0.958 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.976 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.987 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.947 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.932 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.935 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.968 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.915 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.947 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.939 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.948 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.957 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.920 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=6, n_estimators=5;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.877 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.824 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.849 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.885 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.865 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=2;, score=0.878 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.887 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.857 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.923 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.860 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=3;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=1;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.806 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.835 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.853 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.851 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.752 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.813 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.836 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.879 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=2;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.846 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.894 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.837 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.780 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.809 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.813 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=3;, score=0.801 total time=   0.0s

[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.799 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.904 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=4;, score=0.920 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.908 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.932 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=8, n_estimators=5;, score=0.959 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.851 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.853 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.848 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=3;, score=0.852 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.853 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.839 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.871 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.852 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.840 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=4;, score=0.844 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.748 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.519 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.725 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.759 total time=   0.2s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.808 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.766 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.741 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.715 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.740 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.790 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=2;, score=0.778 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.647 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.731 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.740 total time=   0.3s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.701 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.692 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.712 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.797 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.786 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.742 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.777 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.799 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.833 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.764 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.780 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.781 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.786 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.764 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=5;, score=0.784 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.728 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.738 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.909 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=4;, score=0.895 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.898 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=10, n_estimators=5;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.843 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.876 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.837 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.869 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.875 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.876 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=12, n_estimators=5;, score=0.853 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.574 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.702 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=1;, score=0.684 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.757 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.767 total time=   0.2s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.777 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.781 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.770 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.792 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.758 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=3;, score=0.738 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.734 total time=   0.3s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.796 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.818 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.850 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.782 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.652 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.701 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.574 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.678 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.541 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.527 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.503 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=1;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.675 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.734 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.757 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.812 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.727 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.755 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.705 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.769 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.697 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.749 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.746 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.796 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.744 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.776 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.814 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s

[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.628 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.843 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.796 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.795 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.810 total time=   0.2s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.854 total time=   0.2s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.819 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.769 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=4;, score=0.798 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.756 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.817 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.3s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.853 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.808 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.765 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.792 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.816 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.805 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=5;, score=0.801 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=1;, score=0.641 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.677 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=2;, score=0.733 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.681 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.724 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.784 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.744 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.690 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=3;, score=0.730 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.724 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=4;, score=0.748 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.666 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.730 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.649 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.705 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.670 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.734 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=3;, score=0.683 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.618 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.661 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.667 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.739 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.753 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.671 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.707 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=4;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.674 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.760 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.455 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.499 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=4;, score=0.812 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.829 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.849 total time=   0.2s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.830 total time=   0.2s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.865 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.788 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.847 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.827 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.837 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=14, n_estimators=5;, score=0.810 total time=   0.3s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.690 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.637 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=16, n_estimators=1;, score=0.777 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=2;, score=0.729 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.719 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.741 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.809 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.731 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.802 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.717 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.718 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=3;, score=0.678 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.785 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.790 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=18, n_estimators=4;, score=0.820 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.740 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=20, n_estimators=5;, score=0.743 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.516 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.612 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.594 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=1;, score=0.468 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.630 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=2;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.753 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.683 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.510 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.504 total time=   0.0s

[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.456 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.521 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=1;, score=0.533 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.647 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.718 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.735 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.659 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=5;, score=0.693 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.521 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.681 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.609 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=2;, score=0.670 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.696 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.740 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.620 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.701 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=24, n_estimators=3;, score=0.757 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.652 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.663 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.648 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.704 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.721 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.665 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.675 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=4;, score=0.654 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.627 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.735 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.616 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.701 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.625 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.687 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.624 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=5;, score=0.693 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.445 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.517 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.447 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.502 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.583 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.541 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.607 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.587 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.620 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.659 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.598 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.344 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.482 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.505 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.451 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.559 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.368 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=1;, score=0.406 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.470 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.571 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.470 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.573 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.563 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=1;, score=0.532 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.662 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.727 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.680 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.680 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.724 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.673 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.459 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.503 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.512 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.577 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.391 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.466 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=1;, score=0.519 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.633 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.665 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.606 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.702 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.620 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.604 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.645 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.561 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=4;, score=0.620 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.586 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.684 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.679 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.623 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=5;, score=0.647 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.349 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.356 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.572 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.546 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.506 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.559 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.641 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.525 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.603 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.557 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.530 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.772 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.739 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.715 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.671 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=4;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.695 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.782 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.736 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=22, n_estimators=5;, score=0.717 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.669 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.635 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.634 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.626 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.698 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=2;, score=0.636 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.608 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.668 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.629 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=26, n_estimators=3;, score=0.676 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.608 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.684 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.651 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.635 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.623 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.636 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.638 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.604 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.649 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.641 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.641 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=4;, score=0.666 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=4;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.592 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.683 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.623 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.494 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.533 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.575 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.595 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.626 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.619 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.537 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=3;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.570 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.624 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.602 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.598 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=2;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.645 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=28, n_estimators=3;, score=0.698 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.558 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.519 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.380 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=1;, score=0.472 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.491 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.504 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.580 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.570 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=2;, score=0.610 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=30, n_estimators=3;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.366 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.449 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.562 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.372 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=1;, score=0.593 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.536 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.525 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.576 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.530 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.562 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.568 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.621 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.558 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.466 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.573 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.431 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.452 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.592 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.497 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.387 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=1;, score=0.464 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.516 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.560 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.527 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.593 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.579 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.577 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.617 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.576 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.585 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.649 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.648 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.0s

[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.590 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.539 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=4;, score=0.667 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.579 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.658 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.553 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.596 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.553 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.549 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=4;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.594 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.553 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.583 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.545 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.561 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.538 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.561 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.498 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.542 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.509 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.592 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.511 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.487 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.542 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.505 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.537 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.568 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.583 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.546 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.614 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.520 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=4;, score=0.531 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.557 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.591 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.959 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.951 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.969 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.976 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.972 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.933 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.932 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.621 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.584 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.508 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=2;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.628 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=36, n_estimators=5;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.396 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.471 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.494 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.448 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.285 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.441 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.466 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.363 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.480 total time=   0.0s

[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.581 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.484 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.518 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.551 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.441 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=2;, score=0.546 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.611 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.548 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.615 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.607 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.561 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.496 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=3;, score=0.634 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.538 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=3;, score=0.556 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.509 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.589 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.543 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.594 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.603 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.564 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=4;, score=0.586 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.489 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.578 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.591 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.972 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.984 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.950 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.952 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.953 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.980 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.958 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.987 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.361 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.468 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.420 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.500 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.432 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.483 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.398 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.448 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.371 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=1;, score=0.382 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.444 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=2;, score=0.495 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.551 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.597 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.556 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.552 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=40, n_estimators=5;, score=0.589 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.375 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.394 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.425 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.445 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.412 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.415 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.474 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.424 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.279 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=1;, score=0.357 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.556 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.607 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.515 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.572 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.564 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.947 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.982 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=1;, score=0.944 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.923 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=1;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.933 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.948 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=2;, score=0.940 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.982 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.878 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.830 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.928 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.891 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.937 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.932 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.612 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.673 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=34, n_estimators=5;, score=0.602 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.490 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.594 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.555 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.596 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=4;, score=0.578 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.525 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.618 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=38, n_estimators=5;, score=0.549 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.412 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.506 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.448 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.451 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.581 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=2;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.515 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.487 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.500 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=4, min_samples_leaf=42, n_estimators=3;, score=0.569 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.951 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.945 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=3;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.982 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=2, n_estimators=4;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.979 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.945 total time=   0.2s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.948 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=1;, score=0.943 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.1s

[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=3;, score=0.947 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.969 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.974 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.986 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.975 total time=   0.2s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.962 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=4, n_estimators=4;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.945 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.977 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.930 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.949 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.951 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.962 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.865 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.925 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.913 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.956 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.886 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.893 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.918 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.906 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.942 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.893 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.914 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.933 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.811 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.786 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.829 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.800 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.834 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.879 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.797 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.827 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.822 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.825 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.884 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.792 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.698 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.697 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.807 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.799 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.848 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.804 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.865 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.814 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.805 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.957 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.952 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=3;, score=0.938 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.959 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.1s

[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.825 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.823 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.843 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.834 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.855 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.848 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=1;, score=0.870 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.896 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.912 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.902 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.922 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.882 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.894 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.916 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.864 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=2;, score=0.910 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.921 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.905 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.928 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.893 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.881 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.912 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=3;, score=0.886 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=4;, score=0.913 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.891 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.906 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.887 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.707 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.665 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.786 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.795 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.762 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.738 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=1;, score=0.755 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.752 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=2;, score=0.802 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.859 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.829 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.838 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.851 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.872 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.852 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.868 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.892 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.754 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.725 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.748 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.756 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.809 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.878 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.940 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.938 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.951 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=6, n_estimators=2;, score=0.927 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.957 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.927 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.882 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.867 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.814 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=1;, score=0.888 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.940 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.913 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.953 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.921 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=2;, score=0.906 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.908 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.939 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.937 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.946 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.950 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.968 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.916 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.922 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=5;, score=0.936 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.828 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.867 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.837 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.854 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.868 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.836 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.848 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.858 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.886 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.918 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.907 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.884 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.862 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=3;, score=0.874 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.841 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=3;, score=0.870 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.828 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.902 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=4;, score=0.848 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.867 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.857 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.816 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.829 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.826 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.822 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=3;, score=0.795 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.831 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.875 total time=   0.1s

[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.830 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.965 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.914 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.933 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.929 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.936 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.918 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=8, n_estimators=4;, score=0.957 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.918 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.766 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.761 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.869 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.789 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.828 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.814 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.814 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.791 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=1;, score=0.820 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.849 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.849 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.848 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=2;, score=0.902 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.897 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.917 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.831 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.881 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.875 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.892 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.879 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.885 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.911 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.877 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.921 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.851 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=12, n_estimators=5;, score=0.888 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.868 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=14, n_estimators=5;, score=0.925 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.727 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.651 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.632 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=1;, score=0.816 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.846 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.783 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=2;, score=0.811 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.793 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.841 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.887 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.825 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.858 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.804 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.751 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.750 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.831 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.812 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.798 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.676 total time=   0.0s

[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.658 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.782 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.851 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.648 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.711 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.689 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.788 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.799 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.767 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.798 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.748 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.805 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.754 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.801 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.828 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.751 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.738 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.814 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.797 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.537 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.672 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.681 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.540 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.668 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.700 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.784 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.725 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.741 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.763 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.756 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.804 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.703 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.686 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.736 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.659 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.664 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.747 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.797 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.717 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.693 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.690 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.679 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.672 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.683 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.703 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.754 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.709 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.742 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.581 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.631 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.577 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.645 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.638 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.772 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.658 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=1;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.770 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.761 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.816 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.806 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=3;, score=0.784 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.785 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.804 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.824 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.834 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.689 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.598 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.773 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.753 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.839 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.757 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.794 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.776 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.764 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.731 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.831 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.547 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.710 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=1;, score=0.622 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.735 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.650 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.762 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.775 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.703 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.692 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.762 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.458 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.637 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.639 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.535 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.626 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.715 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.771 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.718 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.694 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.721 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.728 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.742 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.397 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.588 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.637 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.728 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.731 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.723 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.708 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.622 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.677 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.539 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.548 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.610 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.757 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.801 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.735 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=2;, score=0.733 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.852 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.773 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=4;, score=0.825 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.811 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=18, n_estimators=5;, score=0.807 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.619 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.608 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.731 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.752 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.712 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.761 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.791 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.782 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=4;, score=0.825 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.788 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.775 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.784 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.762 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.740 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.713 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.809 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.736 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.783 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.725 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.739 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.584 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=1;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.717 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.769 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.661 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.727 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.749 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.761 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.797 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=5;, score=0.686 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.651 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.711 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=3;, score=0.740 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.678 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.702 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.720 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.782 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.542 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.480 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.635 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.700 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.724 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.652 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.731 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.636 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.686 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.622 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.524 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.518 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.692 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=1;, score=0.731 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.712 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=2;, score=0.831 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.770 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.795 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.717 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=3;, score=0.742 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.784 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.824 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.767 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=20, n_estimators=5;, score=0.806 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.779 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.682 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=2;, score=0.746 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.668 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=3;, score=0.793 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.755 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.783 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.774 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.674 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=2;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.676 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=3;, score=0.717 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=24, n_estimators=4;, score=0.760 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.561 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.510 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.589 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.569 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.610 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=1;, score=0.693 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.707 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=2;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.712 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.759 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.689 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=4;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.704 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=26, n_estimators=5;, score=0.697 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.576 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.675 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.653 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.680 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.742 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.727 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.697 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.625 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.673 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.621 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.659 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.675 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.630 total time=   0.1s

[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.647 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.714 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.698 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=4;, score=0.731 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.506 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.422 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.538 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.628 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.638 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.565 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=1;, score=0.589 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.662 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.602 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.699 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.651 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.703 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.651 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.475 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.539 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.484 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.642 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.690 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.643 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.682 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.722 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.668 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.670 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.644 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.641 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.592 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.632 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.542 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.604 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.656 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.654 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.507 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.603 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.587 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.594 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.646 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.505 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.460 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.479 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.574 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.493 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.554 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.569 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.571 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.495 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.608 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.635 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.628 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.573 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.616 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.637 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=2;, score=0.627 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=3;, score=0.650 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.702 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.746 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.684 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=28, n_estimators=5;, score=0.743 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.744 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=2;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.592 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.685 total time=   0.0s

[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.583 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=4;, score=0.689 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.681 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.712 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.674 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.703 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.622 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.618 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.572 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.660 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.590 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.643 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.448 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.587 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.450 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.630 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.410 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.517 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.562 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.566 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.617 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.643 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.687 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.648 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.602 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.627 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.705 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.488 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.590 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.606 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.582 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.602 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.655 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.658 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.554 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.585 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.517 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.615 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.484 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.570 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.609 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.590 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.647 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.615 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.681 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.658 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.581 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.639 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=3;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.622 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.704 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=30, n_estimators=5;, score=0.727 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.587 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.502 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.516 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.417 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.642 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.606 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=3;, score=0.647 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.588 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.591 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.465 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.563 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.499 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=1;, score=0.588 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.615 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.627 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=2;, score=0.548 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.696 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.628 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.653 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.619 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=5;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.512 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.471 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.545 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.613 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.640 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.583 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=3;, score=0.636 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.584 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.608 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.563 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.669 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.422 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=1;, score=0.582 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=2;, score=0.562 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.579 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.608 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=5;, score=0.662 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.523 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.485 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.413 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.472 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.541 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.543 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.513 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.592 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.571 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.615 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.593 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.634 total time=   0.1s

[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.423 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.493 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.580 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=1;, score=0.636 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.529 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=2;, score=0.715 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.558 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.686 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=4;, score=0.640 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.657 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.699 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=32, n_estimators=5;, score=0.657 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.612 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.592 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=3;, score=0.715 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.655 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.631 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=34, n_estimators=4;, score=0.662 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.483 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.588 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.482 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=1;, score=0.545 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.503 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.573 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=2;, score=0.645 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.545 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.628 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=4;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.648 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.695 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.634 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=36, n_estimators=5;, score=0.609 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.535 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.571 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.593 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.533 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=38, n_estimators=4;, score=0.648 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.454 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.548 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.357 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.501 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.584 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.551 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.599 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.552 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.596 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.471 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.610 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.602 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.632 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.608 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.618 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.521 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.600 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.528 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.535 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.636 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.534 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.630 total time=   0.0s

[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.582 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.338 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=1;, score=0.497 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.564 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.609 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.582 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=2;, score=0.605 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.541 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.585 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.610 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.671 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.599 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.656 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.600 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.576 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.522 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.581 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.524 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.630 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.607 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.634 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.981 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.980 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.974 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.957 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.934 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.919 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.966 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.982 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.954 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.979 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.946 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.956 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.956 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.967 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.968 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.941 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.952 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.919 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.926 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.955 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.931 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.879 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.937 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.924 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.900 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.950 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.946 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.942 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.533 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=3;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.530 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=4;, score=0.592 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.580 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=40, n_estimators=5;, score=0.645 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.455 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.524 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.450 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.334 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.512 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.573 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.568 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.572 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.562 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.600 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.563 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.594 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.949 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.976 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.961 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.947 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.978 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.984 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.952 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.957 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.944 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.972 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.956 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.975 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.978 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.964 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.938 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.933 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.955 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.941 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.907 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.981 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.932 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.954 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.963 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.971 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.830 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.891 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=1;, score=0.893 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.922 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.926 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.915 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.941 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.962 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.905 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.933 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.945 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.943 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.841 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.875 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.891 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.915 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.418 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.496 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.477 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.332 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=1;, score=0.496 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.462 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=2;, score=0.529 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.573 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.567 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=3;, score=0.613 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.556 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.534 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=4;, score=0.571 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.960 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.983 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.941 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.969 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.955 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.972 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.948 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=4;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.959 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.942 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.972 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.967 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=1;, score=0.909 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.979 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.977 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.979 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.955 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=3;, score=0.981 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.970 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.904 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.908 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.931 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.936 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.969 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.968 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.979 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.924 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.971 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.929 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.899 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=2;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.949 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.935 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.953 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.924 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.947 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.897 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.919 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=6, min_samples_leaf=42, n_estimators=5;, score=0.612 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.957 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=1;, score=0.963 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.980 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.973 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.954 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=2;, score=0.978 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.950 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.968 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=3;, score=0.947 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.968 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.949 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=2, n_estimators=5;, score=0.983 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.957 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=2;, score=0.927 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.967 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.948 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=4;, score=0.978 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.969 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=4, n_estimators=5;, score=0.960 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.954 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=1;, score=0.944 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.920 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.958 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.933 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=4;, score=0.980 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.944 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.961 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=6, n_estimators=5;, score=0.950 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.930 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.917 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=3;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.946 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=4;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.866 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.901 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.829 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.904 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.873 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.872 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.847 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=1;, score=0.882 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.918 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.953 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.891 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.909 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.923 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.931 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.930 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.733 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.843 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.790 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.887 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.866 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.852 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.879 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.883 total time=   0.1s

[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.868 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=8, n_estimators=5;, score=0.967 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.888 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.868 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.851 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.950 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.931 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.906 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.888 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.923 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.951 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.903 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.921 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.884 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.914 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.843 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.873 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.891 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.932 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.863 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.907 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.632 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.777 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.811 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.875 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.818 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.898 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.862 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.868 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.886 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.874 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.889 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.915 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.862 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.880 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.881 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.788 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.848 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.857 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.817 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.855 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.842 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.850 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.860 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.764 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.821 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.791 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.769 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.874 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.846 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.877 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.702 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.616 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.676 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.697 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.781 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.764 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.798 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.849 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.811 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.817 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.783 total time=   0.1s

[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.767 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=2;, score=0.904 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.922 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.903 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.912 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.956 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.912 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.904 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=5;, score=0.917 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.890 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.870 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.903 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.933 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.899 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.895 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.876 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.770 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.814 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.746 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.806 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.818 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.770 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.766 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=1;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.873 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.850 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.858 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.870 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.861 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.870 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.895 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.740 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.789 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.796 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.779 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.800 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.840 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.825 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.840 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.874 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.837 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.846 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.859 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.709 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.723 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.792 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.804 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.829 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.778 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.824 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.802 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.867 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.810 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.826 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.821 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.729 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.804 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.777 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.779 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.797 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.837 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.868 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.666 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.668 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.603 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.632 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.920 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.899 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.945 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.916 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=10, n_estimators=4;, score=0.924 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.827 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.837 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.833 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=1;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.883 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=2;, score=0.878 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.861 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.895 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.874 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=3;, score=0.869 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.893 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.946 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.758 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.844 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.858 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.863 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.860 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.871 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.895 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.856 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.876 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.871 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=5;, score=0.885 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.782 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.863 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.841 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.838 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.804 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.861 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.866 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=5;, score=0.900 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.778 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.761 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.682 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.728 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.829 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.872 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.765 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.836 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=4;, score=0.841 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.820 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.848 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.710 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.704 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.631 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=1;, score=0.793 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.740 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.830 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.816 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.769 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=3;, score=0.788 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.817 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.765 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.833 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.838 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.738 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.800 total time=   0.0s

[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.722 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.870 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=4;, score=0.906 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.868 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.901 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.900 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=12, n_estimators=5;, score=0.905 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.843 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=2;, score=0.851 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.810 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=3;, score=0.849 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.827 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.889 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.858 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=14, n_estimators=4;, score=0.883 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.691 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.821 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.632 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.764 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.713 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=1;, score=0.718 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.773 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=2;, score=0.801 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.811 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.826 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.845 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=3;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.834 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.876 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.836 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=16, n_estimators=4;, score=0.857 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.748 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.803 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=1;, score=0.768 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.782 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.722 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.802 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=2;, score=0.822 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.801 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.847 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.792 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=3;, score=0.855 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.831 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.882 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.806 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=18, n_estimators=5;, score=0.861 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.780 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=2;, score=0.759 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.809 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.808 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.779 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=4;, score=0.821 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.813 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=20, n_estimators=5;, score=0.787 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.685 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.673 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.711 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.773 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.743 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.694 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.813 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.792 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.823 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.781 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.794 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.769 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.790 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.693 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.770 total time=   0.1s

[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.734 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.670 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.726 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=1;, score=0.758 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.723 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.738 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.781 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.773 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.729 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.823 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.755 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.771 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.747 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.625 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.717 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.756 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.797 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.688 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.720 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.756 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.754 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.541 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.560 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.634 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.511 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.706 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.733 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.699 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.755 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.682 total time=   0.2s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.772 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.556 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.628 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.614 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.541 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.639 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.709 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.672 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.692 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.664 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.717 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.698 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.748 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.486 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.572 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.510 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.652 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.681 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.658 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.710 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.691 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.721 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.485 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.608 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.574 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.530 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.598 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.671 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.633 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.687 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.775 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.745 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.734 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.729 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=5;, score=0.793 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.591 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.650 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.540 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.725 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.653 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.766 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.722 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.746 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.676 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.727 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.767 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.789 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.613 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.656 total time=   0.0s

[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.668 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.687 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.746 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.700 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.750 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.559 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.570 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.472 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.664 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.580 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=1;, score=0.552 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.589 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.660 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.634 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.716 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.753 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.735 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.757 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.671 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.593 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.624 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.567 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.626 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.598 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.609 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.688 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.676 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.691 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.661 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.677 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.687 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.738 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.685 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.724 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.694 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.548 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.630 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.734 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.635 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.709 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.654 total time=   0.2s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.701 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.439 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.578 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.705 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=2;, score=0.722 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.737 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=3;, score=0.780 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.689 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.754 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=22, n_estimators=4;, score=0.804 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.604 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.553 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.703 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.706 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.624 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=1;, score=0.652 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.635 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=2;, score=0.726 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.654 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.749 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.723 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.771 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.750 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.762 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.744 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=4;, score=0.712 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.614 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.622 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.546 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=1;, score=0.634 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.622 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.751 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.708 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.707 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.695 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.737 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.755 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=4;, score=0.791 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.730 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.755 total time=   0.2s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.689 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.688 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.710 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.676 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.619 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.732 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.749 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.658 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.712 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.706 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.704 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.568 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=1;, score=0.547 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.642 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.674 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.616 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=2;, score=0.638 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.621 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.659 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.690 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.673 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.726 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.678 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.609 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.672 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.640 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.694 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.667 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.717 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.672 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.673 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=3;, score=0.735 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.714 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.745 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.785 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=24, n_estimators=5;, score=0.788 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.676 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.709 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.737 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=2;, score=0.775 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.726 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.669 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=3;, score=0.691 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.714 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.776 total time=   0.2s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.722 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=26, n_estimators=5;, score=0.754 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.711 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=2;, score=0.713 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.647 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=3;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.652 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=4;, score=0.713 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.680 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.729 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.698 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=28, n_estimators=5;, score=0.730 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.693 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.710 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.600 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=3;, score=0.696 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=4;, score=0.696 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.641 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=30, n_estimators=5;, score=0.735 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.452 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.587 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.478 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=1;, score=0.540 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=2;, score=0.644 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.637 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.697 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.671 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.699 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.630 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.704 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.689 total time=   0.2s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.729 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.578 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.491 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.394 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.661 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.704 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.641 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.692 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.630 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.619 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.651 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.462 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.658 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.582 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.609 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.644 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.534 total time=   0.0s

[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.574 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=3;, score=0.655 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.618 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=4;, score=0.672 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.663 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.716 total time=   0.2s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=32, n_estimators=5;, score=0.721 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.585 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.624 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.578 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.669 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.714 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.672 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.708 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.523 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.543 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.429 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.618 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.494 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.543 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.635 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.571 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.651 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.684 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.617 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.590 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.649 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.513 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.539 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.380 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.529 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.495 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.536 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.415 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.503 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.565 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.561 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.533 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.574 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.591 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.660 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.646 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.661 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.441 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.536 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.452 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.528 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.497 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.614 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.508 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.629 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.622 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.698 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.580 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.635 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.576 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.616 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.499 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.602 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.450 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.469 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.453 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.577 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.606 total time=   0.0s

[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.623 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.590 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.443 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=1;, score=0.543 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.621 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.574 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.653 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.673 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.644 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.632 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.650 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=4;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.667 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.652 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.651 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.585 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.632 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.650 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.590 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.644 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.703 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.533 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.550 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.616 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.641 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.579 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.646 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.556 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.666 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.629 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.678 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.600 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.652 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.550 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.615 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.623 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.546 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.616 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.541 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.621 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.607 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.645 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.628 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.667 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.428 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.538 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.554 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.565 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.593 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.971 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.909 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.968 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.983 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.950 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.952 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.977 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.975 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.966 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.948 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.961 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.984 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.961 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.930 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.547 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.506 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.605 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=2;, score=0.640 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.633 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.649 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.640 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=3;, score=0.641 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.659 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.724 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.653 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=34, n_estimators=5;, score=0.668 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.601 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.654 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.568 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=2;, score=0.660 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.554 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=3;, score=0.594 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.593 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.655 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.619 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.673 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.654 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.707 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.643 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.605 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=3;, score=0.609 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.590 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.568 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.665 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.495 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.537 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.443 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=1;, score=0.496 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.595 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.624 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.573 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=2;, score=0.576 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.623 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.656 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.595 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=4;, score=0.661 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.616 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.606 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.463 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.475 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.533 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.554 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.597 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=2;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.554 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.586 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.619 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.663 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.596 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.613 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.587 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.608 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.982 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.986 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.964 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.947 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.966 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.949 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.980 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.931 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.966 total time=   0.0s

[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.947 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.657 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.682 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.623 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=4;, score=0.668 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.610 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=36, n_estimators=5;, score=0.639 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.390 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=1;, score=0.472 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.556 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.657 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.549 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=2;, score=0.570 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.556 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.635 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.622 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=4;, score=0.665 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.636 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.672 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.610 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=38, n_estimators=5;, score=0.638 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.549 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.630 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.616 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=3;, score=0.633 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.555 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.635 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.640 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=40, n_estimators=5;, score=0.695 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.516 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.518 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.412 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=1;, score=0.434 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.588 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.627 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.577 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.629 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.578 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=4;, score=0.599 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.583 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.596 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.929 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.946 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=1;, score=0.942 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.967 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.946 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.965 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.962 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.938 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.972 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.953 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.960 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.978 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.934 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.970 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.949 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.971 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.983 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.958 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.970 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.954 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.922 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.969 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.942 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.932 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.959 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.572 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=3;, score=0.617 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.611 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.661 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=8, min_samples_leaf=42, n_estimators=5;, score=0.643 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.959 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.986 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.930 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=2;, score=0.981 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.964 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=3;, score=0.955 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.974 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=4;, score=0.976 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.945 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.979 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=2, n_estimators=5;, score=0.948 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.959 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.961 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.973 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.975 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.940 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.959 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.946 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.967 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.961 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.958 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.949 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.956 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.975 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.954 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.949 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.923 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.949 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.868 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.906 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.870 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.916 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.876 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.933 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.939 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.966 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.908 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.955 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.955 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.942 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.954 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.941 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.754 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.837 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.908 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.886 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.911 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.903 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.918 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.910 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.882 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.945 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.889 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.930 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.928 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s

[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.858 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.971 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.962 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=2;, score=0.986 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.960 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.950 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.976 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.939 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.967 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.984 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.936 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.977 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.948 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.976 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.916 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.969 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.951 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=3;, score=0.950 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.964 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.974 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.928 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.972 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.965 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.953 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.934 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.926 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.949 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.914 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.927 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.929 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.901 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.852 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.878 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.864 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=1;, score=0.884 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.894 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.898 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.903 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.915 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.954 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.936 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.910 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.925 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.926 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.840 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.884 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.803 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.877 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.867 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.879 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.835 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.919 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.880 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.902 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.880 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.902 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.902 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.935 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.867 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.917 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.835 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.899 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.833 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.857 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.879 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.857 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.820 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.873 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.855 total time=   0.1s

[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.864 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.910 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=1;, score=0.951 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.968 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.985 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.940 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=3;, score=0.974 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.963 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=4;, score=0.954 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.980 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=4, n_estimators=5;, score=0.976 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.915 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.952 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.905 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=1;, score=0.912 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.951 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.949 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.961 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=2;, score=0.950 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.951 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.926 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=4;, score=0.965 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.967 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.946 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.895 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=1;, score=0.927 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.936 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.932 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.918 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.957 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.934 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.928 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=3;, score=0.940 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.935 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.966 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.911 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.956 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.905 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.945 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.863 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=2;, score=0.930 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.903 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.907 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.882 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=4;, score=0.908 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.905 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.934 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.922 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.927 total time=   0.2s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.902 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.883 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.869 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.897 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.866 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.912 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.893 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.905 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.758 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.779 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.820 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.878 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.820 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.785 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.816 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.813 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.823 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.878 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.873 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.920 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.879 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.852 total time=   0.1s

[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.884 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.955 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.960 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=6, n_estimators=5;, score=0.982 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.866 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.946 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.928 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=2;, score=0.939 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.943 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.945 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.947 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=4;, score=0.970 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.939 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.937 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=8, n_estimators=5;, score=0.940 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.883 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.902 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.904 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=3;, score=0.916 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.929 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.916 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.925 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=10, n_estimators=5;, score=0.953 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.877 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.787 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.823 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.891 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.910 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.845 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=3;, score=0.927 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.890 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.885 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.892 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.898 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.753 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.801 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.794 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=1;, score=0.812 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.885 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.859 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.826 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=2;, score=0.848 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.875 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.906 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.828 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.899 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.866 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.888 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.706 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.760 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.794 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.835 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.838 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.825 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.815 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.848 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.828 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.906 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.849 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.871 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.863 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.878 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.815 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.825 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.788 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.856 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.808 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.837 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.843 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.888 total time=   0.1s

[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.703 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=1;, score=0.804 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.825 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.888 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.885 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=2;, score=0.814 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.886 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.874 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.912 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=4;, score=0.940 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.907 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.908 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.909 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=12, n_estimators=5;, score=0.906 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.826 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.864 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.877 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=3;, score=0.863 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.877 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.875 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.887 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.902 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.826 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.758 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.751 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.784 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.808 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.909 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.821 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.802 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.853 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.824 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.834 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.850 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.678 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.747 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.735 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.781 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.824 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.868 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.755 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.818 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.797 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.795 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.783 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.862 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.783 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.832 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.805 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.862 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.726 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.786 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.749 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.801 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.768 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.825 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.805 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.813 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.650 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.737 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.643 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.722 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.606 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.763 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.684 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.752 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.696 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.816 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.779 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.832 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.791 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.781 total time=   0.1s

[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.773 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=4;, score=0.879 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.806 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.778 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.732 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=1;, score=0.789 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.817 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.866 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.796 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.877 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.875 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.859 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.862 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.843 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.864 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.903 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.796 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=5;, score=0.864 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.797 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.789 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.810 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.769 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.835 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.897 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.811 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.833 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.805 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=5;, score=0.818 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.689 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.670 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.749 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.778 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.792 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.794 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.786 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.815 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.768 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.772 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.819 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.827 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.778 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.804 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.718 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.768 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.717 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.788 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.770 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.841 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.743 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.782 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.785 total time=   0.2s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.728 total time=   0.2s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.545 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.698 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.680 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.739 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.716 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.754 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.701 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.792 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.713 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.808 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.751 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.795 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.712 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.748 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.654 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.736 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.702 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.729 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.669 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.735 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.736 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.867 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=14, n_estimators=5;, score=0.886 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.802 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=2;, score=0.845 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.782 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=3;, score=0.830 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.799 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.842 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.832 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=16, n_estimators=4;, score=0.844 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.669 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.680 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.769 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.784 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.704 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=1;, score=0.753 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.771 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=2;, score=0.817 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.802 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.823 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.841 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=3;, score=0.855 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.848 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.847 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.806 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=18, n_estimators=4;, score=0.797 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.723 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.794 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.676 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.729 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.751 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.787 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.781 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=2;, score=0.816 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.773 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.825 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.798 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.838 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.816 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.835 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.793 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.790 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.716 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.754 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.782 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.783 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.725 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.803 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.788 total time=   0.2s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.832 total time=   0.2s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.668 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.606 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.611 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.709 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.736 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.711 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.765 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.746 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.741 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.645 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.575 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.701 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.591 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.639 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.662 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.753 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.693 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.715 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=1;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.808 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.808 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.765 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=3;, score=0.810 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.788 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=4;, score=0.802 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.777 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=20, n_estimators=5;, score=0.829 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.645 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.667 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.720 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=1;, score=0.661 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.710 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.767 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.733 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=2;, score=0.732 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.723 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=3;, score=0.785 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.728 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.796 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.748 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.791 total time=   0.2s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.777 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=5;, score=0.783 total time=   0.2s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.730 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.779 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.698 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.737 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.728 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=4;, score=0.742 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.698 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.776 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.528 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.642 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.678 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=1;, score=0.632 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.664 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.712 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.653 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.736 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.783 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.661 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.755 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.713 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.749 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.588 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.637 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.653 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.743 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.716 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.715 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.642 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.723 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.699 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.794 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.729 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.727 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.700 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.734 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.616 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.726 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.722 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.677 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.624 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.740 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.692 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.734 total time=   0.1s

[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.610 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=22, n_estimators=4;, score=0.694 total time=   0.2s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.668 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.733 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.649 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=1;, score=0.714 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.698 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.742 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.736 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=2;, score=0.765 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.729 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.705 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.722 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=3;, score=0.735 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.753 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.808 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.730 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=24, n_estimators=5;, score=0.773 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.695 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.763 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.660 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=2;, score=0.738 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.688 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.681 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.634 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.741 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.686 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.758 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.725 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.736 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.686 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.675 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.662 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.685 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.625 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.736 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.700 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.654 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.661 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.665 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.539 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.664 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.620 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.668 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.658 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.695 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.708 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.739 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.709 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.695 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.695 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.719 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.584 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.560 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.690 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.692 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.660 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.677 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.607 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.674 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.738 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.648 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.709 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.440 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.634 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.600 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.616 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.579 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.678 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.642 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=5;, score=0.783 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.625 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.657 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.578 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.640 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.737 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.762 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.631 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.743 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.719 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=4;, score=0.694 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.669 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.740 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.442 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.600 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=1;, score=0.584 total time=   0.0s

[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.681 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.709 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.613 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.707 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.709 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.735 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.743 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.678 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.676 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.480 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.614 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.598 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.572 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.559 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.589 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.551 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.688 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.605 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.680 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.653 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.725 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.686 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.718 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.481 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.542 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.604 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.660 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.594 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.690 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.655 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.668 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.608 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.648 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.712 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.681 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.725 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.565 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.598 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.641 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.666 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.642 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.662 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.592 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.658 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.654 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.708 total time=   0.2s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.623 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.668 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.599 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.649 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.568 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.722 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=3;, score=0.748 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.710 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.755 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.694 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=26, n_estimators=4;, score=0.688 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.679 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.644 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.520 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=1;, score=0.678 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.648 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.708 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.706 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=2;, score=0.682 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.673 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.715 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.659 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=3;, score=0.655 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.719 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.786 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.642 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=28, n_estimators=5;, score=0.756 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.629 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.688 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=2;, score=0.670 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.611 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=3;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.633 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=4;, score=0.688 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.653 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.700 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.705 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=30, n_estimators=5;, score=0.714 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.670 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.662 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=2;, score=0.683 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.610 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.672 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.679 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.716 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.680 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.711 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.685 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.671 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.613 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.692 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.634 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.682 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.602 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.664 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.675 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.724 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.525 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.512 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.473 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.591 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.637 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.666 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.617 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.629 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.640 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.670 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.587 total time=   0.2s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.645 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.425 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.542 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.525 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.484 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.560 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.634 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.511 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.547 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=1;, score=0.546 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.684 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.702 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.633 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=3;, score=0.711 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.626 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=4;, score=0.685 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.614 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=32, n_estimators=5;, score=0.717 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.513 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.610 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.547 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=1;, score=0.591 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.647 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.658 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.612 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=2;, score=0.646 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.686 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.701 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.616 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.703 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.648 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=5;, score=0.696 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.440 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.569 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.508 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.631 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.552 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=3;, score=0.628 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.594 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.675 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.607 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.672 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.504 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.527 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.625 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.501 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.564 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.503 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=1;, score=0.522 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.581 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.659 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.457 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.612 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.667 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.606 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.642 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.595 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.642 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.395 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.579 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.605 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.671 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.605 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.643 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.540 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.628 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.612 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.668 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.644 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.656 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.622 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.645 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.578 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.635 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.581 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.594 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=3;, score=0.697 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.647 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.682 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.665 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=34, n_estimators=4;, score=0.667 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.514 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.575 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.407 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=1;, score=0.612 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.554 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.646 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.630 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=2;, score=0.625 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.519 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.670 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.663 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=4;, score=0.658 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.621 total time=   0.2s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.678 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.560 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=36, n_estimators=5;, score=0.653 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.580 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.623 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.633 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.659 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.562 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.607 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.636 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.674 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.568 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.394 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.513 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.597 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.667 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.595 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.640 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.591 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.618 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.570 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.655 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.482 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.507 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.550 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.546 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.538 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.566 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.685 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.509 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.663 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.671 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=2;, score=0.677 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.570 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.628 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.563 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.588 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.602 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.675 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.632 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=5;, score=0.697 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.555 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.569 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.526 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.560 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.593 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.686 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.606 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=4;, score=0.697 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.467 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.387 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.529 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.581 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.408 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.551 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.524 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=1;, score=0.507 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.563 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.584 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.483 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.613 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.631 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.659 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.613 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.633 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.555 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.592 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.662 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=3;, score=0.670 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.614 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.672 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.586 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=38, n_estimators=4;, score=0.592 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.523 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.534 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.511 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=1;, score=0.592 total time=   0.0s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.502 total time=   0.0s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.476 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.574 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=2;, score=0.604 total time=   0.0s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.622 total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.680 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.551 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=3;, score=0.621 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.633 total time=   0.1s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.702 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.594 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=40, n_estimators=5;, score=0.658 total time=   0.1s
[CV 3/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.516 total time=   0.0s
[CV 4/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.646 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.565 total time=   0.0s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=2;, score=0.655 total time=   0.0s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.593 total time=   0.0s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=3;, score=0.564 total time=   0.1s
[CV 1/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.568 total time=   0.1s
[CV 2/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.565 total time=   0.0s
[CV 5/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.585 total time=   0.1s
[CV 6/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.653 total time=   0.1s
[CV 7/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.617 total time=   0.1s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=5;, score=0.658 total time=   0.1s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.650 total time=   0.1s
[CV 9/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.531 total time=   0.1s
[CV 10/10] END max_depth=30, max_features=10, min_samples_leaf=42, n_estimators=4;, score=0.634 total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=12, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=14, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=14, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=16, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=16, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s

[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s

[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=18, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s

[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.2s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s

[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s

[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=20, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s

[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=22, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s

[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s

[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=24, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s

[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s

[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=26, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s

[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.1s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.1s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=14, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.1s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.1s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s

[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.1s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.1s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.1s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s

[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.1s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s

[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=28, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=6, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=2, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=4, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=8, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s

[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=10, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.1s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s

[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=12, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=14, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=16, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=18, n_estimators=1;, score=nan total time=   0.0s
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[CV 1/10] END max_depth=30, max_features=3

/opt/anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_validation.py:372: FitFailedWarning: 
157500 fits failed out of a total of 236250.
The score on these train-test partitions for these parameters will be set to nan.
If these failures are not expected, you can try to debug them by setting error_score='raise'.

Below are more details about the failures:
--------------------------------------------------------------------------------
157500 fits failed with the following error:
Traceback (most recent call last):
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_validation.py", line 681, in _fit_and_score
    estimator.fit(X_train, y_train, **fit_params)
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
    for i, t in enumerate(trees)
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 1043, in __call__
    if self.dispatch_one_batch(iterator):
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch
    self._dispatch(tasks)
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 779, in _dispatch
    job = self._backend.apply_async(batch, callback=cb)
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 208, in apply_async
    result = ImmediateResult(func)
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 572, in __init__
    self.results = batch()
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
    for func, args, kwargs in self.items]
  File "/opt/anaconda3/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
    for func, args, kwargs in self.items]
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
    return self.function(*args, **kwargs)
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
    tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
    X_idx_sorted=X_idx_sorted,
  File "/opt/anaconda3/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 308, in fit
    raise ValueError("max_features must be in (0, n_features]")
ValueError: max_features must be in (0, n_features]

  warnings.warn(some_fits_failed_message, FitFailedWarning)

0, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=20, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s

/opt/anaconda3/lib/python3.7/site-packages/sklearn/model_selection/_search.py:972: UserWarning: One or more of the test scores are non-finite: [0.05825319 0.0776613  0.08760063 ...        nan        nan        nan]
  category=UserWarning,

Best parameters: {'max_depth': 22, 'max_features': 8, 'min_samples_leaf': 4, 'n_estimators': 5}
--- 1290.0160503387451 seconds ---

''

[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
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[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=4;, score=nan total time=   0.0s
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[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
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[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=22, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=2;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=24, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=26, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=28, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=30, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=32, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=34, n_estimators=5;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=1;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=36, n_estimators=2;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=38, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=3;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 10/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 2/10] END max_depth=30, max_features=30, min_samples_leaf=40, n_estimators=5;, score=nan total time=   0.0s
[CV 6/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=1;, score=nan total time=   0.0s
[CV 3/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 5/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 8/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=3;, score=nan total time=   0.0s
[CV 9/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=4;, score=nan total time=   0.0s
[CV 1/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 4/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s
[CV 7/10] END max_depth=30, max_features=30, min_samples_leaf=42, n_estimators=5;, score=nan total time=   0.0s

# Grid Search Results
GS_results = pd.DataFrame(RF_search.cv_results_).dropna()
GS_results
GS_results.to_csv("GridSearchResultsfinalfinal.csv")

RF_search.best_params_

{'max_depth': 22, 'max_features': 8, 'min_samples_leaf': 4, 'n_estimators': 5}

GS_results.iloc[:,4],GS_results.iloc[:,5],GS_results.iloc[:,6],GS_results.iloc[:,14]

(0         2
 1         2
 2         2
 3         2
 4         2
          ..
 22570    30
 22571    30
 22572    30
 22573    30
 22574    30
 Name: param_max_depth, Length: 7875, dtype: object,
 0         2
 1         2
 2         2
 3         2
 4         2
          ..
 22570    10
 22571    10
 22572    10
 22573    10
 22574    10
 Name: param_max_features, Length: 7875, dtype: object,
 0         2
 1         2
 2         2
 3         2
 4         2
          ..
 22570    42
 22571    42
 22572    42
 22573    42
 22574    42
 Name: param_min_samples_leaf, Length: 7875, dtype: object,
 0        0.086394
 1        0.077805
 2        0.046419
 3        0.078379
 4        0.073686
            ...   
 22570    0.550955
 22571    0.654725
 22572    0.635172
 22573    0.633390
 22574    0.653190
 Name: split5_test_score, Length: 7875, dtype: float64)

# Grid Search Result Visualization

X = GS_results.iloc[:,4]
Y = GS_results.iloc[:,5]
Z = GS_results.iloc[:,6]
Acc = GS_results.iloc[:,14]

fig = plt.figure(figsize = (20,20))


ax = fig.add_subplot(111, projection='3d')
ax.set_xlabel("max_depth", size=20)
ax.set_ylabel("max_features", size=20)
ax.set_zlabel("min_sample_leaf", size=20)
sp = ax.scatter(X, Y, Z, s=200, c=Acc)
plt.colorbar(sp)

<matplotlib.colorbar.Colorbar at 0x7f8c16625310>

# Regular CV
start_time=time.time()
cv = ShuffleSplit(n_splits=10, test_size=0.2, random_state=42)
cv_score = cross_val_score(RF_model, X_train, y_train.values.ravel(), cv=cv)
# print('Cross Validation Score =', cv_score.mean() )
# print('with STD =', cv_score.std() )
print(cv_score.mean())
print("--- %s seconds ---" % (time.time() - start_time))

0.9653446171789882
--- 7.461364030838013 seconds ---

# Repeated 10 Fold Cross-Validation 
start_time=time.time()
score_list = []
for i in range(5):
    # function
    cv = ShuffleSplit(n_splits=10, test_size=0.2, random_state=42)
    cv_score = cross_val_score(RF_model, X_train, y_train.values.ravel(), cv=cv)
    # make a new list

    avg_cv = cv_score.mean()
    # combine new list with previous list
    score_list.append(avg_cv)
# score_list_mean = sum(score_list) / len(score_list)
# print('10k fold repeated CV:',score_list_mean)
print(score_list)
print("--- %s seconds ---" % (time.time() - start_time))

[0.9651234707304305, 0.9646284214138319, 0.96493059714186, 0.9651718141218228, 0.9652096871052759]
--- 37.107404947280884 seconds ---

 score_list_mean = sum(score_list) / len(score_list)
 print('10k fold repeated CV:',score_list_mean)
score_list_mean

10k fold repeated CV: 0.9650127981026442

0.9650127981026442

## Testing results

pred = RF_model.predict(X_test)
plt.scatter(y_test,pred)
plt.xlabel("Measured Rutting", fontsize=14)
plt.ylabel("Predicted Rutting", fontsize=14)
plt.plot(range(0,23), range(0,23), color='red')
plt.title("Rutting Prediction Testing Data")
print('Testing data mean squared error:', test_mse)
print('Testing data R^2:',test_r2)



#RF_model.predict(X, check_input=True)
print("Total Datasize:",len(X))
print("Testing Datasize:",len(y_test))

Testing data mean squared error: 0.48973400431165576
Testing data R^2: 0.9582110804682499
Total Datasize: 7875
Testing Datasize: 1107

## Training results


pred = RF_model.predict(X_train)
plt.scatter(y_train,pred)
plt.xlabel("Measured Rutting", fontsize=14)
plt.ylabel("Predicted Rutting", fontsize=14)
plt.plot(range(0,23), range(0,23), color='red')
plt.title("Rutting Prediction Training Data")
print('Training data mean squared error:',train_mse)
print('Training data R^2:',train_r2)



#RF_model.predict(X, check_input=True)
print("Total Datasize:",len(X))
print("Training Datasize:",len(y_train))
print(train)

    

Training data mean squared error: 0.19642711734854995
Training data R^2: 0.9847604577597364
Total Datasize: 7875
Training Datasize: 4427
0.9848136899648093

columns_X = [
#    'STATE_CODE',
#    'SHRP_ID',
#    'YEAR',
    'CONSTRUCTION_NO',
#    'MAX_MEAN_DEPTH_1_8',
    'ANL_KESAL_LTPP_LN_YR',
    'TOTAL_ANN_PRECIP',
    'FREEZE_INDEX_YR',
    'MAX_ANN_TEMP_AVG',
    'MAX_ANN_TEMP_DAYS',
    'DAYS_ABOVE_32_C_YR',
    'MR_MATL_TYPE',
    'RES_MOD_AVG',
    'REPR_THICKNESS'
]

#plt.figure(figsize=(15,10))

tree.plot_tree(RF_model.estimators_[0], feature_names=columns_X, filled=True, proportion=True, rounded=True)
plt.savefig('RF_1.pdf')

# Visualizing Trees
export_graphviz(RF_model.estimators_[0], 
                out_file='tree_3-1_pruned.dot', 
                #feature_names = iris.feature_names,
                #class_names = iris.target_names,
                rounded = True, proportion = False, 
                feature_names=columns_X, 
                precision = 2, filled = True)

# Visualizing Trees
call(['dot', '-Tpdf', 'tree_3-1_pruned.dot', '-o', 'tree_3-1_pruned.pdf'])


Image(filename = 'tree_3-1_pruned.pdf')

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
/var/folders/mf/gtpff7fn1t36x4pfcr9qrj_c0000gn/T/ipykernel_3141/2009330323.py in <module>
      1 # Visualizing Trees
----> 2 call(['dot', '-Tpdf', 'tree_3-1_pruned.dot', '-o', 'tree_3-1_pruned.pdf'])
      3 
      4 
      5 Image(filename = 'tree_3-1_pruned.pdf')

/opt/anaconda3/lib/python3.7/subprocess.py in call(timeout, *popenargs, **kwargs)
    321     retcode = call(["ls", "-l"])
    322     """
--> 323     with Popen(*popenargs, **kwargs) as p:
    324         try:
    325             return p.wait(timeout=timeout)

/opt/anaconda3/lib/python3.7/subprocess.py in __init__(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, encoding, errors, text)
    773                                 c2pread, c2pwrite,
    774                                 errread, errwrite,
--> 775                                 restore_signals, start_new_session)
    776         except:
    777             # Cleanup if the child failed starting.

/opt/anaconda3/lib/python3.7/subprocess.py in _execute_child(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, restore_signals, start_new_session)
   1520                         if errno_num == errno.ENOENT:
   1521                             err_msg += ': ' + repr(err_filename)
-> 1522                     raise child_exception_type(errno_num, err_msg, err_filename)
   1523                 raise child_exception_type(err_msg)
   1524 

FileNotFoundError: [Errno 2] No such file or directory: 'dot': 'dot'